Classes
class	oevislib_net.ComputerVision.ShapeFitting.ArcFittingField
	Describes an arc-shaped area used to create an ArcFittingMap. More...
class	oevislib_net.ComputerVision.ShapeFitting.CircleFittingField
	Describes a circle-shaped area used to create a CircleFittingMap. More...
class	oevislib_net.ComputerVision.ShapeFitting.PathFittingField
	Describes a path-shaped area used to create a PathFittingMap. More...
class	oevislib_net.ComputerVision.ShapeFitting.SegmentFittingField
	Describes a segment-shaped area used to create a SegmentFittingMap. More...
class	oevislib_net.ComputerVision.ShapeFitting.ArcFittingMap
	Arc-shaped map typically used to fit arcs to points acquired through edge detection. More...
class	oevislib_net.ComputerVision.ShapeFitting.CircleFittingMap
	Circle-shaped map typically used to fit circles to points acquired through edge detection. More...
class	oevislib_net.ComputerVision.ShapeFitting.PathFittingMap
	Path-shaped map typically used to fit paths to points acquired through edge detection. More...
class	oevislib_net.ComputerVision.ShapeFitting.SegmentFittingMap
	Segment-shaped map typically used to fit segments to points acquired through edge detection. More...

Functions
static ArcFittingMap	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.BuildArcFittingMap (ImageFormat inImageFormat, ArcFittingField inFittingField, Optional< UCS2D > inFieldAlignment=null, int inScanCount=10, int inScanWidth=5, SamplingParams inSamplingParams=null, Optional< Array< Segment2D > > outScanSegments=null)
	Creates and ArcFittingMap starting from the corresponding field.
static CircleFittingMap	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.BuildCircleFittingMap (ImageFormat inImageFormat, CircleFittingField inFittingField, Optional< UCS2D > inFieldAlignment=null, int inScanCount=10, int inScanWidth=5, SamplingParams inSamplingParams=null, Optional< Array< Segment2D > > outScanSegments=null)
	Creates a CircleFittingMap starting from the corresponding field.
static PathFittingMap	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.BuildPathFittingMap (ImageFormat inImageFormat, PathFittingField inFittingField, Optional< UCS2D > inFieldAlignment=null, Optional< float > inScanStep=null, int inScanWidth=5, SamplingParams inSamplingParams=null, Optional< Array< Segment2D > > outScanSegments=null)
	Creates a CircleFittingMap starting from the corresponding field.
static SegmentFittingMap	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.BuildSegmentFittingMap (ImageFormat inImageFormat, SegmentFittingField inFittingField, Optional< UCS2D > inFieldAlignment=null, int inScanCount=10, int inScanWidth=5, SamplingParams inSamplingParams=null, Optional< Array< Segment2D > > outScanSegments=null)
	Creates a SegmentFittingMap starting from the corresponding field.
static Conditional< Arc2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitArc (Image inImage, ArcFittingField inFittingField, Optional< UCS2D > inFieldAlignment=null, int inScanCount=10, int inScanWidth=5, SamplingParams inSamplingParams=null, EdgeScanParams inEdgeScanParams=null, Selection inEdgeSelection=Selection.Best, float inMaxIncompleteness=0.1f, CircleFittingMethod inFittingMethod=CircleFittingMethod.AlgebraicPratt, Optional< float > inMaxError=null, Optional< MEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Array< Conditional< Edge1D > > > outEdges=null, Optional< Array< Point2D > > outInliers=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null, Optional< Array< Segment2D > > outScanSegments=null)
	Fits an arc using the edges detected inside the provided scan template.
static Conditional< Arc2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitArc (Image inImage, ArcFittingMap inFittingMap, EdgeScanParams inEdgeScanParams=null, Selection inEdgeSelection=Selection.Best, float inMaxIncompleteness=0.1f, CircleFittingMethod inFittingMethod=CircleFittingMethod.AlgebraicPratt, Optional< float > inMaxError=null, Optional< MEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Array< Conditional< Edge1D > > > outEdges=null, Optional< Array< Point2D > > outInliers=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null)
	Fits an arc using the edges detected inside the provided scan template.
static Conditional< Arc2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitArc (Image inImage, ArcFittingField inFittingField, Optional< UCS2D > inFieldAlignment=null, int inScanCount=10, int inScanWidth=5, SamplingParams inSamplingParams=null, RidgeScanParams inRidgeScanParams=null, Selection inRidgeSelection=Selection.Best, float inMaxIncompleteness=0.1f, CircleFittingMethod inFittingMethod=CircleFittingMethod.AlgebraicPratt, Optional< float > inMaxError=null, Optional< MEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Array< Conditional< Ridge1D > > > outRidges=null, Optional< Array< Point2D > > outInliers=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null, Optional< Array< Segment2D > > outScanSegments=null)
	Fits an arc using the ridges detected inside the provided scan template.
static Conditional< Arc2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitArc (Image inImage, ArcFittingMap inFittingMap, RidgeScanParams inRidgeScanParams=null, Selection inRidgeSelection=Selection.Best, float inMaxIncompleteness=0.1f, CircleFittingMethod inFittingMethod=CircleFittingMethod.AlgebraicPratt, Optional< float > inMaxError=null, Optional< MEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Array< Conditional< Ridge1D > > > outRidges=null, Optional< Array< Point2D > > outInliers=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null)
	Fits an arc using the ridges detected inside the provided scan template.
static Conditional< Arc2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitArc (Image inImage, ArcFittingField inFittingField, Optional< UCS2D > inFieldAlignment=null, int inScanCount=10, int inScanWidth=5, SamplingParams inSamplingParams=null, StripeScanParams inStripeScanParams=null, Selection inStripeSelection=Selection.Best, float inMaxIncompleteness=0.1f, CircleFittingMethod inFittingMethod=CircleFittingMethod.AlgebraicPratt, Optional< float > inMaxError=null, Optional< MEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Conditional< Arc2D > > outInnerArc=null, Optional< Conditional< Arc2D > > outOuterArc=null, Optional< Array< Conditional< Stripe1D > > > outStripes=null, Optional< Array< Point2D > > outStripePoints=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null, Optional< Array< Segment2D > > outScanSegments=null)
	Fits an arc using the stripes detected inside the provided scan template.
static Conditional< Arc2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitArc (Image inImage, ArcFittingMap inFittingMap, StripeScanParams inStripeScanParams=null, Selection inStripeSelection=Selection.Best, float inMaxIncompleteness=0.1f, CircleFittingMethod inFittingMethod=CircleFittingMethod.AlgebraicPratt, Optional< float > inMaxError=null, Optional< MEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Conditional< Arc2D > > outInnerArc=null, Optional< Conditional< Arc2D > > outOuterArc=null, Optional< Array< Conditional< Stripe1D > > > outStripes=null, Optional< Array< Point2D > > outStripePoints=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null)
	Fits an arc using the stripes detected inside the provided scan template.
static Conditional< Circle2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitCircle (Image inImage, CircleFittingField inFittingField, Optional< UCS2D > inFieldAlignment=null, int inScanCount=10, int inScanWidth=5, SamplingParams inSamplingParams=null, EdgeScanParams inEdgeScanParams=null, Selection inEdgeSelection=Selection.Best, float inMaxIncompleteness=0.1f, CircleFittingMethod inFittingMethod=CircleFittingMethod.AlgebraicPratt, Optional< float > inMaxError=null, Optional< MEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Array< Conditional< Edge1D > > > outEdges=null, Optional< Array< Point2D > > outInliers=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null, Optional< Array< Segment2D > > outScanSegments=null)
	Fits a circle using the edges detected inside the provided scan template.
static Conditional< Circle2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitCircle (Image inImage, CircleFittingMap inFittingMap, EdgeScanParams inEdgeScanParams=null, Selection inEdgeSelection=Selection.Best, float inMaxIncompleteness=0.1f, CircleFittingMethod inFittingMethod=CircleFittingMethod.AlgebraicPratt, Optional< float > inMaxError=null, Optional< MEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Array< Conditional< Edge1D > > > outEdges=null, Optional< Array< Point2D > > outInliers=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null)
	Fits a circle using the edges detected inside the provided scan template.
static Conditional< Circle2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitCircle (Image inImage, CircleFittingField inFittingField, Optional< UCS2D > inFieldAlignment=null, int inScanCount=10, int inScanWidth=5, SamplingParams inSamplingParams=null, RidgeScanParams inRidgeScanParams=null, Selection inRidgeSelection=Selection.Best, float inMaxIncompleteness=0.1f, CircleFittingMethod inFittingMethod=CircleFittingMethod.AlgebraicPratt, Optional< float > inMaxError=null, Optional< MEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Array< Conditional< Ridge1D > > > outRidges=null, Optional< Array< Point2D > > outInliers=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null, Optional< Array< Segment2D > > outScanSegments=null)
	Fits a circle using the ridges detected inside the provided scan template.
static Conditional< Circle2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitCircle (Image inImage, CircleFittingMap inFittingMap, RidgeScanParams inRidgeScanParams=null, Selection inRidgeSelection=Selection.Best, float inMaxIncompleteness=0.1f, CircleFittingMethod inFittingMethod=CircleFittingMethod.AlgebraicPratt, Optional< float > inMaxError=null, Optional< MEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Array< Conditional< Ridge1D > > > outRidges=null, Optional< Array< Point2D > > outInliers=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null)
	Fits a circle using the ridges detected inside the provided scan template.
static Conditional< Circle2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitCircle (Image inImage, CircleFittingField inFittingField, Optional< UCS2D > inFieldAlignment=null, int inScanCount=10, int inScanWidth=5, SamplingParams inSamplingParams=null, StripeScanParams inStripeScanParams=null, Selection inStripeSelection=Selection.Best, float inMaxIncompleteness=0.1f, CircleFittingMethod inFittingMethod=CircleFittingMethod.AlgebraicPratt, Optional< float > inMaxError=null, Optional< MEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Conditional< Circle2D > > outInnerCircle=null, Optional< Conditional< Circle2D > > outOuterCircle=null, Optional< Array< Conditional< Stripe1D > > > outStripes=null, Optional< Array< Point2D > > outStripePoints=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null, Optional< Array< Segment2D > > outScanSegments=null)
	Fits a circle using the stripes detected inside the provided scan template.
static Conditional< Circle2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitCircle (Image inImage, CircleFittingMap inFittingMap, StripeScanParams inStripeScanParams=null, Selection inStripeSelection=Selection.Best, float inMaxIncompleteness=0.1f, CircleFittingMethod inFittingMethod=CircleFittingMethod.AlgebraicPratt, Optional< float > inMaxError=null, Optional< MEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Conditional< Circle2D > > outInnerCircle=null, Optional< Conditional< Circle2D > > outOuterCircle=null, Optional< Array< Conditional< Stripe1D > > > outStripes=null, Optional< Array< Point2D > > outStripePoints=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null)
	Fits a circle using the stripes detected inside the provided scan template.
static Conditional< Path >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitPath (Image inImage, PathFittingField inFittingField, Optional< UCS2D > inFieldAlignment=null, Optional< float > inScanStep=null, int inScanWidth=5, SamplingParams inSamplingParams=null, EdgeScanParams inEdgeScanParams=null, Selection inEdgeSelection=Selection.Best, Optional< int > inMaxInterpolationLength=null, Optional< float > inMaxDeviationDelta=null, float inMaxIncompleteness=0.1f, Optional< LocalBlindness > inLocalBlindness=null, Optional< Array< Conditional< Edge1D > > > outEdges=null, Optional< Conditional< Profile > > outDeviationProfile=null, Optional< Array< Segment2D > > outScanSegments=null)
	Fits a path using the edges detected inside the provided scan template.
static Conditional< Path >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitPath (Image inImage, PathFittingMap inFittingMap, EdgeScanParams inEdgeScanParams=null, Selection inEdgeSelection=Selection.Best, Optional< int > inMaxInterpolationLength=null, Optional< float > inMaxDeviationDelta=null, float inMaxIncompleteness=0.1f, Optional< LocalBlindness > inLocalBlindness=null, Optional< Array< Conditional< Edge1D > > > outEdges=null, Optional< Conditional< Profile > > outDeviationProfile=null)
	Fits a path using the edges detected inside the provided scan template.
static Conditional< Path >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitPath (Image inImage, PathFittingField inFittingField, Optional< UCS2D > inFieldAlignment=null, Optional< float > inScanStep=null, int inScanWidth=5, SamplingParams inSamplingParams=null, RidgeScanParams inRidgeScanParams=null, Selection inRidgeSelection=Selection.Best, Optional< int > inMaxInterpolationLength=null, Optional< float > inMaxDeviationDelta=null, float inMaxIncompleteness=0.1f, Optional< LocalBlindness > inLocalBlindness=null, Optional< Array< Conditional< Ridge1D > > > outRidges=null, Optional< Conditional< Profile > > outDeviationProfile=null, Optional< Array< Segment2D > > outScanSegments=null)
	Fits a path using the ridges detected inside the provided scan template.
static Conditional< Path >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitPath (Image inImage, PathFittingMap inFittingMap, RidgeScanParams inRidgeScanParams=null, Selection inRidgeSelection=Selection.Best, Optional< int > inMaxInterpolationLength=null, Optional< float > inMaxDeviationDelta=null, float inMaxIncompleteness=0.1f, Optional< LocalBlindness > inLocalBlindness=null, Optional< Array< Conditional< Ridge1D > > > outRidges=null, Optional< Conditional< Profile > > outDeviationProfile=null)
	Fits a path using the ridges detected inside the provided scan template.
static Conditional< Path >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitPath (Image inImage, PathFittingField inFittingField, Optional< UCS2D > inFieldAlignment=null, Optional< float > inScanStep=null, int inScanWidth=5, SamplingParams inSamplingParams=null, StripeScanParams inStripeScanParams=null, Selection inStripeSelection=Selection.Best, Optional< int > inMaxInterpolationLength=null, Optional< float > inMaxDeviationDelta=null, float inMaxIncompleteness=0.1f, Optional< LocalBlindness > inLocalBlindness=null, Optional< Conditional< Path > > outLeftPath=null, Optional< Conditional< Path > > outRightPath=null, Optional< Array< Conditional< Stripe1D > > > outStripes=null, Optional< Conditional< Profile > > outDeviationProfile=null, Optional< Array< Segment2D > > outScanSegments=null)
	Fits a path using the ridges detected inside the provided scan template.
static Conditional< Path >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitPath (Image inImage, PathFittingMap inFittingMap, StripeScanParams inStripeScanParams=null, Selection inStripeSelection=Selection.Best, Optional< int > inMaxInterpolationLength=null, Optional< float > inMaxDeviationDelta=null, float inMaxIncompleteness=0.1f, Optional< LocalBlindness > inLocalBlindness=null, Optional< Conditional< Path > > outLeftPath=null, Optional< Conditional< Path > > outRightPath=null, Optional< Array< Conditional< Stripe1D > > > outStripes=null, Optional< Conditional< Profile > > outDeviationProfile=null)
	Fits a path using the ridges detected inside the provided scan template.
static Conditional< Segment2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitSegment (Image inImage, SegmentFittingField inFittingField, Optional< UCS2D > inFieldAlignment=null, int inScanCount=10, int inScanWidth=5, SamplingParams inSamplingParams=null, EdgeScanParams inEdgeScanParams=null, Selection inEdgeSelection=Selection.Best, float inMaxIncompleteness=0.1f, Optional< float > inMaxError=null, Optional< LineMEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Array< Conditional< Edge1D > > > outEdges=null, Optional< Array< Point2D > > outInliers=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null, Optional< Array< Segment2D > > outScanSegments=null)
	Fits a segment using the edges detected inside the provided scan template.
static Conditional< Segment2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitSegment (Image inImage, SegmentFittingMap inFittingMap, EdgeScanParams inEdgeScanParams=null, Selection inEdgeSelection=Selection.Best, float inMaxIncompleteness=0.1f, Optional< float > inMaxError=null, Optional< LineMEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Array< Conditional< Edge1D > > > outEdges=null, Optional< Array< Point2D > > outInliers=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null)
	Fits a segment using the edges detected inside the provided scan template.
static Conditional< Segment2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitSegment (Image inImage, SegmentFittingField inFittingField, Optional< UCS2D > inFieldAlignment=null, int inScanCount=10, int inScanWidth=5, SamplingParams inSamplingParams=null, RidgeScanParams inRidgeScanParams=null, Selection inRidgeSelection=Selection.Best, float inMaxIncompleteness=0.1f, Optional< float > inMaxError=null, Optional< LineMEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Array< Conditional< Ridge1D > > > outRidges=null, Optional< Array< Point2D > > outInliers=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null, Optional< Array< Segment2D > > outScanSegments=null)
	Fits a segment using the ridges detected inside the provided scan template.
static Conditional< Segment2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitSegment (Image inImage, SegmentFittingMap inFittingMap, RidgeScanParams inRidgeScanParams=null, Selection inRidgeSelection=Selection.Best, float inMaxIncompleteness=0.1f, Optional< float > inMaxError=null, Optional< LineMEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Array< Conditional< Ridge1D > > > outRidges=null, Optional< Array< Point2D > > outInliers=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null)
	Fits a segment using the ridges detected inside the provided scan template.
static Conditional< Segment2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitSegment (Image inImage, SegmentFittingField inFittingField, Optional< UCS2D > inFieldAlignment=null, int inScanCount=10, int inScanWidth=5, SamplingParams inSamplingParams=null, StripeScanParams inStripeScanParams=null, Selection inStripeSelection=Selection.Best, float inMaxIncompleteness=0.1f, Optional< float > inMaxError=null, Optional< LineMEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Conditional< Segment2D > > outLeftSegment=null, Optional< Conditional< Segment2D > > outRightSegment=null, Optional< Array< Conditional< Stripe1D > > > outStripes=null, Optional< Array< Point2D > > outStripePoints=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null, Optional< Array< Segment2D > > outScanSegments=null)
	Fits a segment using the stripes detected inside the provided scan template.
static Conditional< Segment2D >	oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitSegment (Image inImage, SegmentFittingMap inFittingMap, StripeScanParams inStripeScanParams=null, Selection inStripeSelection=Selection.Best, float inMaxIncompleteness=0.1f, Optional< float > inMaxError=null, Optional< LineMEstimator > inOutlierSuppression=null, Optional< LocalBlindness > inLocalBlindness=null, Optional< Conditional< Segment2D > > outLeftSegment=null, Optional< Conditional< Segment2D > > outRightSegment=null, Optional< Array< Conditional< Stripe1D > > > outStripes=null, Optional< Array< Point2D > > outStripePoints=null, Optional< float > outError=null, Optional< Conditional< Profile > > outDeviationProfile=null)
	Fits a segment using the stripes detected inside the provided scan template.

Detailed Description

Function Documentation

◆ BuildArcFittingMap()

ArcFittingMap oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.BuildArcFittingMap	(	ImageFormat	inImageFormat,
		ArcFittingField	inFittingField,
		Optional< UCS2D >	inFieldAlignment = null,
		int	inScanCount = 10,
		int	inScanWidth = 5,
		SamplingParams	inSamplingParams = null,
		Optional< Array< Segment2D > >	outScanSegments = null )

inlinestatic

Creates and ArcFittingMap starting from the corresponding field.

Parameters

inImageFormat	Metadata of the image on which the fitting will be performed.
inFittingField	Field on which the fitting map is based.
inFieldAlignment	Coordinate system used to align the field before creating the map. If Null, no alignment is performed.
inScanCount	Number of ScanTemplate objects that will be created inside the map. Range [3, +inf].
inScanWidth	Width of a single ScanTemplate object. Range [1, +inf].
inSamplingParams	Parameters used for the image sampling process.
outScanSegments	Segments formed by the starting and ending point of each ScanTemplate of the map.

Returns: The initialized ArcFittingMap object.

◆ BuildCircleFittingMap()

CircleFittingMap oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.BuildCircleFittingMap	(	ImageFormat	inImageFormat,
		CircleFittingField	inFittingField,
		Optional< UCS2D >	inFieldAlignment = null,
		int	inScanCount = 10,
		int	inScanWidth = 5,
		SamplingParams	inSamplingParams = null,
		Optional< Array< Segment2D > >	outScanSegments = null )

inlinestatic

Creates a CircleFittingMap starting from the corresponding field.

Parameters

inImageFormat	Metadata of the image on which the fitting will be performed.
inFittingField	Field on which the fitting map is based.
inFieldAlignment	Coordinate system used to align the field before creating the map. If Null, no alignment is performed.
inScanCount	Number of ScanTemplate objects that will be created inside the map. Range [3, +inf].
inScanWidth	Width of a single ScanTemplate object. Range [1, +inf].
inSamplingParams	Parameters used for the image sampling process.
outScanSegments	Segments formed by the starting and ending point of each ScanTemplate of the map.

Returns: The initialized CircleFittingMap object.

◆ BuildPathFittingMap()

PathFittingMap oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.BuildPathFittingMap	(	ImageFormat	inImageFormat,
		PathFittingField	inFittingField,
		Optional< UCS2D >	inFieldAlignment = null,
		Optional< float >	inScanStep = null,
		int	inScanWidth = 5,
		SamplingParams	inSamplingParams = null,
		Optional< Array< Segment2D > >	outScanSegments = null )

inlinestatic

Creates a CircleFittingMap starting from the corresponding field.

Parameters

inImageFormat	Metadata of the image on which the fitting will be performed.
inFittingField	Field on which the fitting map is based.
inFieldAlignment	Coordinate system used to align the field before creating the map. If Null, no alignment is performed.
inScanStep	Step used to space regularly the path included in the fitting field. Range [0, +inf].
inScanWidth	Width of a single ScanTemplate object. Range [1, +inf].
inSamplingParams	Parameters used for the image sampling process.
outScanSegments	Segments formed by the starting and ending point of each ScanTemplate of the map.

Returns: The initialized PathFittingMap object.

◆ BuildSegmentFittingMap()

SegmentFittingMap oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.BuildSegmentFittingMap	(	ImageFormat	inImageFormat,
		SegmentFittingField	inFittingField,
		Optional< UCS2D >	inFieldAlignment = null,
		int	inScanCount = 10,
		int	inScanWidth = 5,
		SamplingParams	inSamplingParams = null,
		Optional< Array< Segment2D > >	outScanSegments = null )

inlinestatic

Creates a SegmentFittingMap starting from the corresponding field.

Parameters

inImageFormat	Metadata of the image on which the fitting will be performed.
inFittingField	Field on which the fitting map is based.
inFieldAlignment	Coordinate system used to align the field before creating the map. If Null, no alignment is performed.
inScanCount	Number of ScanTemplate objects that will be created inside the map. Range [3, +inf].
inScanWidth	Width of a single ScanTemplate object. Range [1, +inf]
inSamplingParams	Parameters used for the image sampling process.
outScanSegments	Segments formed by the starting and ending point of each ScanTemplate of the map.

Returns: The initialized SegmentFittingMap object.

◆ FitArc() [1/6]

Conditional< Arc2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitArc	(	Image	inImage,
		ArcFittingField	inFittingField,
		Optional< UCS2D >	inFieldAlignment = null,
		int	inScanCount = 10,
		int	inScanWidth = 5,
		SamplingParams	inSamplingParams = null,
		EdgeScanParams	inEdgeScanParams = null,
		Selection	inEdgeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		CircleFittingMethod	inFittingMethod = CircleFittingMethod::AlgebraicPratt,
		Optional< float >	inMaxError = null,
		Optional< MEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Array< Conditional< Edge1D > > >	outEdges = null,
		Optional< Array< Point2D > >	outInliers = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null,
		Optional< Array< Segment2D > >	outScanSegments = null )

inlinestatic

Fits an arc using the edges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingField	Field on which the fitting map is based.
inFieldAlignment	Coordinate system used to align the field before creating the map. If Null, no alignment is performed.
inScanCount	Number of ScanTemplate objects that will be created inside the map. Range [3, +inf].
inScanWidth	Width of a single ScanTemplate object. Range [1, +inf].
inSamplingParams	Parameters used for the image sampling process.
inEdgeScanParams	Parameters used to control the edge scanning process.
inEdgeSelection	Select the edge that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inFittingMethod	Algorithm used to fit the arc.
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outEdges	Array containing the detected edges. Each element of the array is a Conditional<Edge1D>, which is Null if the detection in the respective segment failed.
outInliers	Array containing the fit inliers. This output is useful only when an MEstimator is selected.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.
outScanSegments	Segments formed by the starting and ending point of each ScanTemplate of the map.

Returns: The fitted arc. The object is Null if the fit fails for any reason.

◆ FitArc() [2/6]

Conditional< Arc2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitArc	(	Image	inImage,
		ArcFittingField	inFittingField,
		Optional< UCS2D >	inFieldAlignment = null,
		int	inScanCount = 10,
		int	inScanWidth = 5,
		SamplingParams	inSamplingParams = null,
		RidgeScanParams	inRidgeScanParams = null,
		Selection	inRidgeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		CircleFittingMethod	inFittingMethod = CircleFittingMethod::AlgebraicPratt,
		Optional< float >	inMaxError = null,
		Optional< MEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Array< Conditional< Ridge1D > > >	outRidges = null,
		Optional< Array< Point2D > >	outInliers = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null,
		Optional< Array< Segment2D > >	outScanSegments = null )

inlinestatic

Fits an arc using the ridges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingField	Field on which the fitting map is based.
inFieldAlignment	Coordinate system used to align the field before creating the map. If Null, no alignment is performed.
inScanCount	Number of ScanTemplate objects that will be created inside the map. Range [3, +inf].
inScanWidth	Width of a single ScanTemplate object. Range [1, +inf].
inSamplingParams	Parameters used for the image sampling process.
inRidgeScanParams	Parameters used to control the ridge scanning process.
inRidgeSelection	Select the ridge that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inFittingMethod	Algorithm used to fit the arc.
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outRidges	Array containing the detected ridges. Each element of the array is a Conditional<Ridge1D>, which is Null if the detection in the respective segment failed.
outInliers	Array containing the fit inliers. This output is useful only when an MEstimator is selected.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.
outScanSegments	Segments formed by the starting and ending point of each ScanTemplate of the map.

Returns: The fitted arc. The object is Null if the fit fails for any reason.

◆ FitArc() [3/6]

Conditional< Arc2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitArc	(	Image	inImage,
		ArcFittingField	inFittingField,
		Optional< UCS2D >	inFieldAlignment = null,
		int	inScanCount = 10,
		int	inScanWidth = 5,
		SamplingParams	inSamplingParams = null,
		StripeScanParams	inStripeScanParams = null,
		Selection	inStripeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		CircleFittingMethod	inFittingMethod = CircleFittingMethod::AlgebraicPratt,
		Optional< float >	inMaxError = null,
		Optional< MEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Conditional< Arc2D > >	outInnerArc = null,
		Optional< Conditional< Arc2D > >	outOuterArc = null,
		Optional< Array< Conditional< Stripe1D > > >	outStripes = null,
		Optional< Array< Point2D > >	outStripePoints = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null,
		Optional< Array< Segment2D > >	outScanSegments = null )

inlinestatic

Fits an arc using the stripes detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingField	Field on which the fitting map is based.
inFieldAlignment	Coordinate system used to align the field before creating the map. If Null, no alignment is performed.
inScanCount	Number of ScanTemplate objects that will be created inside the map. Range [3, +inf].
inScanWidth	Width of a single ScanTemplate object. Range [1, +inf].
inSamplingParams	Parameters used for the image sampling process.
inStripeScanParams	Parameters used to control the stripe scanning process.
inStripeSelection	Select the stripe that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inFittingMethod	Algorithm used to fit the arc.
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outInnerArc	Arc fitted using the first points of the stripe segment.
outOuterArc	Arc fitted using the second points of the stripe segment.
outStripes	Array containing the detected stripes. Each element of the array is a Conditional<Stripe1D>, which is Null if the detection in the respective segment failed.
outStripePoints	Array containing the points acquired from each stripe.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.
outScanSegments	Segments formed by the starting and ending point of each ScanTemplate of the map.

Returns: The fitted arc. The object is Null if the fit fails for any reason.

◆ FitArc() [4/6]

Conditional< Arc2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitArc	(	Image	inImage,
		ArcFittingMap	inFittingMap,
		EdgeScanParams	inEdgeScanParams = null,
		Selection	inEdgeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		CircleFittingMethod	inFittingMethod = CircleFittingMethod::AlgebraicPratt,
		Optional< float >	inMaxError = null,
		Optional< MEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Array< Conditional< Edge1D > > >	outEdges = null,
		Optional< Array< Point2D > >	outInliers = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null )

inlinestatic

Fits an arc using the edges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingMap	Input fitting map. The map must be initialized using the buildArcFittingMap() function.
inEdgeScanParams	Parameters used to control the edge scanning process.
inEdgeSelection	Select the edge that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inFittingMethod	Algorithm used to fit the arc.
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outEdges	Array containing the detected edges. Each element of the array is a Conditional<Edge1D>, which is Null if the detection in the respective segment failed.
outInliers	Array containing the fit inliers. This output is useful only when an MEstimator is selected.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.

Returns: The fitted arc. The object is Null if the fit fails for any reason.

◆ FitArc() [5/6]

Conditional< Arc2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitArc	(	Image	inImage,
		ArcFittingMap	inFittingMap,
		RidgeScanParams	inRidgeScanParams = null,
		Selection	inRidgeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		CircleFittingMethod	inFittingMethod = CircleFittingMethod::AlgebraicPratt,
		Optional< float >	inMaxError = null,
		Optional< MEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Array< Conditional< Ridge1D > > >	outRidges = null,
		Optional< Array< Point2D > >	outInliers = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null )

inlinestatic

Fits an arc using the ridges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingMap	Input fitting map. The map must be initialized using the buildArcFittingMap() function.
inRidgeScanParams	Parameters used to control the ridge scanning process.
inRidgeSelection	Select the ridge that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inFittingMethod	Algorithm used to fit the arc.
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outRidges	Array containing the detected ridges. Each element of the array is a Conditional<Ridge1D>, which is Null if the detection in the respective segment failed.
outInliers	Array containing the fit inliers. This output is useful only when an MEstimator is selected.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.

Returns: The fitted arc. The object is Null if the fit fails for any reason.

◆ FitArc() [6/6]

Conditional< Arc2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitArc	(	Image	inImage,
		ArcFittingMap	inFittingMap,
		StripeScanParams	inStripeScanParams = null,
		Selection	inStripeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		CircleFittingMethod	inFittingMethod = CircleFittingMethod::AlgebraicPratt,
		Optional< float >	inMaxError = null,
		Optional< MEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Conditional< Arc2D > >	outInnerArc = null,
		Optional< Conditional< Arc2D > >	outOuterArc = null,
		Optional< Array< Conditional< Stripe1D > > >	outStripes = null,
		Optional< Array< Point2D > >	outStripePoints = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null )

inlinestatic

Fits an arc using the stripes detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingMap	Input fitting map. The map must be initialized using the buildArcFittingMap() function.
inStripeScanParams	Parameters used to control the stripe scanning process.
inStripeSelection	Select the stripe that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inFittingMethod	Algorithm used to fit the arc.
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outInnerArc	Arc fitted using the first points of the stripe segment.
outOuterArc	Arc fitted using the second points of the stripe segment.
outStripes	Array containing the detected stripes. Each element of the array is a Conditional<Stripe1D>, which is Null if the detection in the respective segment failed.
outStripePoints	Array containing the points acquired from each stripe.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.

Returns: The arc fitted using the stripe midpoints. The object is Null if the fit fails for any reason.

◆ FitCircle() [1/6]

Conditional< Circle2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitCircle	(	Image	inImage,
		CircleFittingField	inFittingField,
		Optional< UCS2D >	inFieldAlignment = null,
		int	inScanCount = 10,
		int	inScanWidth = 5,
		SamplingParams	inSamplingParams = null,
		EdgeScanParams	inEdgeScanParams = null,
		Selection	inEdgeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		CircleFittingMethod	inFittingMethod = CircleFittingMethod::AlgebraicPratt,
		Optional< float >	inMaxError = null,
		Optional< MEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Array< Conditional< Edge1D > > >	outEdges = null,
		Optional< Array< Point2D > >	outInliers = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null,
		Optional< Array< Segment2D > >	outScanSegments = null )

inlinestatic

Fits a circle using the edges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingField	Field on which the fitting map is based.
inFieldAlignment	Coordinate system used to align the field before creating the map. If Null, no alignment is performed.
inScanCount	Number of ScanTemplate objects that will be created inside the map. Range [3, +inf].
inScanWidth	Width of a single ScanTemplate object. Range [1, +inf].
inSamplingParams	Parameters used for the image sampling process.
inEdgeScanParams	Parameters used to control the edge scanning process.
inEdgeSelection	Select the edge that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inFittingMethod	Algorithm used to fit the circle.
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outEdges	Array containing the detected edges. Each element of the array is a Conditional<Edge1D>, which is Null if the detection in the respective segment failed.
outInliers	Array containing the fit inliers. This output is useful only when an MEstimator is selected.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.
outScanSegments	Segments formed by the starting and ending point of each ScanTemplate of the map.

Returns: The fitted circle. The object is Null if the fit fails for any reason.

◆ FitCircle() [2/6]

Conditional< Circle2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitCircle	(	Image	inImage,
		CircleFittingField	inFittingField,
		Optional< UCS2D >	inFieldAlignment = null,
		int	inScanCount = 10,
		int	inScanWidth = 5,
		SamplingParams	inSamplingParams = null,
		RidgeScanParams	inRidgeScanParams = null,
		Selection	inRidgeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		CircleFittingMethod	inFittingMethod = CircleFittingMethod::AlgebraicPratt,
		Optional< float >	inMaxError = null,
		Optional< MEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Array< Conditional< Ridge1D > > >	outRidges = null,
		Optional< Array< Point2D > >	outInliers = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null,
		Optional< Array< Segment2D > >	outScanSegments = null )

inlinestatic

Fits a circle using the ridges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingField	Field on which the fitting map is based.
inFieldAlignment	Coordinate system used to align the field before creating the map. If Null, no alignment is performed.
inScanCount	Number of ScanTemplate objects that will be created inside the map. Range [3, +inf].
inScanWidth	Width of a single ScanTemplate object. Range [1, +inf].
inSamplingParams	Parameters used for the image sampling process.
inRidgeScanParams	Parameters used to control the ridge scanning process.
inRidgeSelection	Select the ridge that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inFittingMethod	Algorithm used to fit the circle.
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outRidges	Array containing the detected ridges. Each element of the array is a Conditional<Ridge1D>, which is Null if the detection in the respective segment failed.
outInliers	Array containing the fit inliers. This output is useful only when an MEstimator is selected.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.
outScanSegments	Segments formed by the starting and ending point of each ScanTemplate of the map.

Returns: The fitted circle. The object is Null if the fit fails for any reason.

◆ FitCircle() [3/6]

Conditional< Circle2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitCircle	(	Image	inImage,
		CircleFittingField	inFittingField,
		Optional< UCS2D >	inFieldAlignment = null,
		int	inScanCount = 10,
		int	inScanWidth = 5,
		SamplingParams	inSamplingParams = null,
		StripeScanParams	inStripeScanParams = null,
		Selection	inStripeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		CircleFittingMethod	inFittingMethod = CircleFittingMethod::AlgebraicPratt,
		Optional< float >	inMaxError = null,
		Optional< MEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Conditional< Circle2D > >	outInnerCircle = null,
		Optional< Conditional< Circle2D > >	outOuterCircle = null,
		Optional< Array< Conditional< Stripe1D > > >	outStripes = null,
		Optional< Array< Point2D > >	outStripePoints = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null,
		Optional< Array< Segment2D > >	outScanSegments = null )

inlinestatic

Fits a circle using the stripes detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingField	Field on which the fitting map is based.
inFieldAlignment	Coordinate system used to align the field before creating the map. If Null, no alignment is performed.
inScanCount	Number of ScanTemplate objects that will be created inside the map. Range [3, +inf].
inScanWidth	Width of a single ScanTemplate object. Range [1, +inf].
inSamplingParams	Parameters used for the image sampling process.
inStripeScanParams	Parameters used to control the stripe scanning process.
inStripeSelection	Select the stripe that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inFittingMethod	Algorithm used to fit the circle.
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outInnerCircle	Circle fitted using the first points of the stripe segment.
outOuterCircle	Circle fitted using the second points of the stripe segment.
outStripes	Array containing the detected stripes. Each element of the array is a Conditional<Stripe1D>, which is Null if the detection in the respective segment failed.
outStripePoints	Array containing the points acquired from each stripe.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.
outScanSegments	Segments formed by the starting and ending point of each ScanTemplate of the map.

Returns: The circle fitted using the stripe midpoints. The object is Null if the fit fails for any reason.

◆ FitCircle() [4/6]

Conditional< Circle2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitCircle	(	Image	inImage,
		CircleFittingMap	inFittingMap,
		EdgeScanParams	inEdgeScanParams = null,
		Selection	inEdgeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		CircleFittingMethod	inFittingMethod = CircleFittingMethod::AlgebraicPratt,
		Optional< float >	inMaxError = null,
		Optional< MEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Array< Conditional< Edge1D > > >	outEdges = null,
		Optional< Array< Point2D > >	outInliers = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null )

inlinestatic

Fits a circle using the edges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingMap	Input fitting map. The map must be initialized using the buildCircleFittingMap() function.
inEdgeScanParams	Parameters used to control the edge scanning process.
inEdgeSelection	Select the edge that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inFittingMethod	Algorithm used to fit the circle.
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outEdges	Array containing the detected edges. Each element of the array is a Conditional<Edge1D>, which is Null if the detection in the respective segment failed.
outInliers	Array containing the fit inliers. This output is useful only when an MEstimator is selected.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.

Returns: The fitted circle. The object is Null if the fit fails for any reason.

◆ FitCircle() [5/6]

Conditional< Circle2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitCircle	(	Image	inImage,
		CircleFittingMap	inFittingMap,
		RidgeScanParams	inRidgeScanParams = null,
		Selection	inRidgeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		CircleFittingMethod	inFittingMethod = CircleFittingMethod::AlgebraicPratt,
		Optional< float >	inMaxError = null,
		Optional< MEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Array< Conditional< Ridge1D > > >	outRidges = null,
		Optional< Array< Point2D > >	outInliers = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null )

inlinestatic

Fits a circle using the ridges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingMap	Input fitting map. The map must be initialized using the buildCircleFittingMap() function.
inRidgeScanParams	Parameters used to control the ridge scanning process.
inRidgeSelection	Select the ridge that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inFittingMethod	Algorithm used to fit the circle.
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outRidges	Array containing the detected ridges. Each element of the array is a Conditional<Ridge1D>, which is Null if the detection in the respective segment failed.
outInliers	Array containing the fit inliers. This output is useful only when an MEstimator is selected.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.

Returns: The fitted circle. The object is Null if the fit fails for any reason.

◆ FitCircle() [6/6]

Conditional< Circle2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitCircle	(	Image	inImage,
		CircleFittingMap	inFittingMap,
		StripeScanParams	inStripeScanParams = null,
		Selection	inStripeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		CircleFittingMethod	inFittingMethod = CircleFittingMethod::AlgebraicPratt,
		Optional< float >	inMaxError = null,
		Optional< MEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Conditional< Circle2D > >	outInnerCircle = null,
		Optional< Conditional< Circle2D > >	outOuterCircle = null,
		Optional< Array< Conditional< Stripe1D > > >	outStripes = null,
		Optional< Array< Point2D > >	outStripePoints = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null )

inlinestatic

Fits a circle using the stripes detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingMap	Input fitting map. The map must be initialized using the buildCircleFittingMap() function.
inStripeScanParams	Parameters used to control the stripe scanning process.
inStripeSelection	Select the stripe that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inFittingMethod	Algorithm used to fit the circle.
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outInnerCircle	Circle fitted using the first points of the stripe segment.
outOuterCircle	Circle fitted using the second points of the stripe segment.
outStripes	Array containing the detected stripes. Each element of the array is a Conditional<Stripe1D>, which is Null if the detection in the respective segment failed.
outStripePoints	Array containing the points acquired from each stripe.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.

Returns: The circle fitted using the stripe midpoints. The object is Null if the fit fails for any reason.

◆ FitPath() [1/6]

Conditional< Path > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitPath	(	Image	inImage,
		PathFittingField	inFittingField,
		Optional< UCS2D >	inFieldAlignment = null,
		Optional< float >	inScanStep = null,
		int	inScanWidth = 5,
		SamplingParams	inSamplingParams = null,
		EdgeScanParams	inEdgeScanParams = null,
		Selection	inEdgeSelection = Selection::Best,
		Optional< int >	inMaxInterpolationLength = null,
		Optional< float >	inMaxDeviationDelta = null,
		float	inMaxIncompleteness = 0::1f,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Array< Conditional< Edge1D > > >	outEdges = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null,
		Optional< Array< Segment2D > >	outScanSegments = null )

inlinestatic

Fits a path using the edges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingField	Field on which the fitting map is based.
inFieldAlignment	Coordinate system used to align the field before creating the map. If Null, no alignment is performed.
inScanStep	Step used to space regularly the path included in the fitting field. Range [0, +inf].
inScanWidth	Width of a single ScanTemplate object. Range [1, +inf].
inSamplingParams	Parameters used for the image sampling process.
inEdgeScanParams	Parameters used to control the edge scanning process.
inEdgeSelection	Select the edge that will be used for the fit in case more than one are detected on the same fit segment.
inMaxInterpolationLength	Maximum number of consecutive points that is not found during the scanning process.
inMaxDeviationDelta	Maximum allowed deviation between detected points and their theoretical value.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outEdges	Array containing the detected edges. Each element of the array is a Conditional<Edge1D>, which is Null if the detection in the respective segment failed.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.
outScanSegments	Segments formed by the starting and ending point of each ScanTemplate of the map.

Returns: The fitted path. The object is Null if the fit fails for any reason.

◆ FitPath() [2/6]

Conditional< Path > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitPath	(	Image	inImage,
		PathFittingField	inFittingField,
		Optional< UCS2D >	inFieldAlignment = null,
		Optional< float >	inScanStep = null,
		int	inScanWidth = 5,
		SamplingParams	inSamplingParams = null,
		RidgeScanParams	inRidgeScanParams = null,
		Selection	inRidgeSelection = Selection::Best,
		Optional< int >	inMaxInterpolationLength = null,
		Optional< float >	inMaxDeviationDelta = null,
		float	inMaxIncompleteness = 0::1f,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Array< Conditional< Ridge1D > > >	outRidges = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null,
		Optional< Array< Segment2D > >	outScanSegments = null )

inlinestatic

Fits a path using the ridges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingField	Field on which the fitting map is based.
inFieldAlignment	Coordinate system used to align the field before creating the map. If Null, no alignment is performed.
inScanStep	Step used to space regularly the path included in the fitting field. Range [0, +inf].
inScanWidth	Width of a single ScanTemplate object. Range [1, +inf].
inSamplingParams	Parameters used for the image sampling process.
inRidgeScanParams	Parameters used to control the ridge scanning process.
inRidgeSelection	Select the ridge that will be used for the fit in case more than one are detected on the same fit segment.
inMaxInterpolationLength	Maximum number of consecutive points that is not found during the scanning process. Range [0, +inf].
inMaxDeviationDelta	Maximum allowed deviation between detected points and their theoretical value. Range [0, +inf].
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outRidges	Array containing the detected ridges. Each element of the array is a Conditional<Ridge1D>, which is Null if the detection in the respective segment failed.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.
outScanSegments	Segments formed by the starting and ending point of each ScanTemplate of the map.

Returns: The fitted path. The object is Null if the fit fails for any reason.

◆ FitPath() [3/6]

Conditional< Path > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitPath	(	Image	inImage,
		PathFittingField	inFittingField,
		Optional< UCS2D >	inFieldAlignment = null,
		Optional< float >	inScanStep = null,
		int	inScanWidth = 5,
		SamplingParams	inSamplingParams = null,
		StripeScanParams	inStripeScanParams = null,
		Selection	inStripeSelection = Selection::Best,
		Optional< int >	inMaxInterpolationLength = null,
		Optional< float >	inMaxDeviationDelta = null,
		float	inMaxIncompleteness = 0::1f,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Conditional< Path > >	outLeftPath = null,
		Optional< Conditional< Path > >	outRightPath = null,
		Optional< Array< Conditional< Stripe1D > > >	outStripes = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null,
		Optional< Array< Segment2D > >	outScanSegments = null )

inlinestatic

Fits a path using the ridges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingField	Field on which the fitting map is based.
inFieldAlignment	Coordinate system used to align the field before creating the map. If Null, no alignment is performed.
inScanStep	Step used to space regularly the path included in the fitting field. Range [0, +inf].
inScanWidth	Width of a single ScanTemplate object. Range [1, +inf].
inSamplingParams	Parameters used for the image sampling process.
inStripeScanParams	Parameters used to control the stripe scanning process.
inStripeSelection	Select the stripe that will be used for the fit in case more than one are detected on the same fit segment.
inMaxInterpolationLength	Maximum number of consecutive points that is not found during the scanning process.
inMaxDeviationDelta	Maximum allowed deviation between detected points and their theoretical value.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outLeftPath	Path fitted using the first points of the stripe segment.
outRightPath	Path fitted using the second points of the stripe segment.
outStripes	Array containing the detected stripes. Each element of the array is a Conditional<Stripe1D>, which is Null if the detection in the respective segment failed.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.
outScanSegments	Segments formed by the starting and ending point of each ScanTemplate of the map.

Returns: The path fitted using the stripe midpoints. The object is Null if the fit fails for any reason.

◆ FitPath() [4/6]

Conditional< Path > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitPath	(	Image	inImage,
		PathFittingMap	inFittingMap,
		EdgeScanParams	inEdgeScanParams = null,
		Selection	inEdgeSelection = Selection::Best,
		Optional< int >	inMaxInterpolationLength = null,
		Optional< float >	inMaxDeviationDelta = null,
		float	inMaxIncompleteness = 0::1f,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Array< Conditional< Edge1D > > >	outEdges = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null )

inlinestatic

Fits a path using the edges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingMap	Input fitting map. The map must be initialized using the buildPathFittingMap() function.
inEdgeScanParams	Parameters used to control the edge scanning process.
inEdgeSelection	Select the edge that will be used for the fit in case more than one are detected on the same fit segment.
inMaxInterpolationLength	Maximum number of consecutive points that is not found during the scanning process. Range [0, +inf].
inMaxDeviationDelta	Maximum allowed deviation between detected points and their theoretical value. Range [0, +inf].
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outEdges	Array containing the detected edges. Each element of the array is a Conditional<Edge1D>, which is Null if the detection in the respective segment failed.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.

Returns: The fitted path. The object is Null if the fit fails for any reason.

◆ FitPath() [5/6]

Conditional< Path > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitPath	(	Image	inImage,
		PathFittingMap	inFittingMap,
		RidgeScanParams	inRidgeScanParams = null,
		Selection	inRidgeSelection = Selection::Best,
		Optional< int >	inMaxInterpolationLength = null,
		Optional< float >	inMaxDeviationDelta = null,
		float	inMaxIncompleteness = 0::1f,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Array< Conditional< Ridge1D > > >	outRidges = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null )

inlinestatic

Fits a path using the ridges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingMap	Input fitting map. The map must be initialized using the buildPathFittingMap() function.
inRidgeScanParams	Parameters used to control the ridge scanning process.
inRidgeSelection	Select the ridge that will be used for the fit in case more than one are detected on the same fit segment.
inMaxInterpolationLength	Maximum number of consecutive points that is not found during the scanning process. Range [0, +inf].
inMaxDeviationDelta	Maximum allowed deviation between detected points and their theoretical value. Range [0, +inf].
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outRidges	Array containing the detected ridges. Each element of the array is a Conditional<Ridge1D>, which is Null if the detection in the respective segment failed.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.

Returns: The fitted path. The object is Null if the fit fails for any reason.

◆ FitPath() [6/6]

Conditional< Path > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitPath	(	Image	inImage,
		PathFittingMap	inFittingMap,
		StripeScanParams	inStripeScanParams = null,
		Selection	inStripeSelection = Selection::Best,
		Optional< int >	inMaxInterpolationLength = null,
		Optional< float >	inMaxDeviationDelta = null,
		float	inMaxIncompleteness = 0::1f,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Conditional< Path > >	outLeftPath = null,
		Optional< Conditional< Path > >	outRightPath = null,
		Optional< Array< Conditional< Stripe1D > > >	outStripes = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null )

inlinestatic

Fits a path using the ridges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingMap	Input fitting map. The map must be initialized using the buildPathFittingMap() function.
inStripeScanParams	Parameters used to control the stripe scanning process.
inStripeSelection	Select the stripe that will be used for the fit in case more than one are detected on the same fit segment.
inMaxInterpolationLength	Maximum number of consecutive points that is not found during the scanning process.
inMaxDeviationDelta	Maximum allowed deviation between detected points and their theoretical value.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outLeftPath	Path fitted using the first points of the stripe segment.
outRightPath	Path fitted using the second points of the stripe segment.
outStripes	Array containing the detected stripes. Each element of the array is a Conditional<Stripe1D>, which is Null if the detection in the respective segment failed.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.

Returns: The path fitted using the stripe midpoints. The object is Null if the fit fails for any reason.

◆ FitSegment() [1/6]

Conditional< Segment2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitSegment	(	Image	inImage,
		SegmentFittingField	inFittingField,
		Optional< UCS2D >	inFieldAlignment = null,
		int	inScanCount = 10,
		int	inScanWidth = 5,
		SamplingParams	inSamplingParams = null,
		EdgeScanParams	inEdgeScanParams = null,
		Selection	inEdgeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		Optional< float >	inMaxError = null,
		Optional< LineMEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Array< Conditional< Edge1D > > >	outEdges = null,
		Optional< Array< Point2D > >	outInliers = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null,
		Optional< Array< Segment2D > >	outScanSegments = null )

inlinestatic

Fits a segment using the edges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingField	Field on which the fitting map is based.
inFieldAlignment	Coordinate system used to align the field before creating the map. If Null, no alignment is performed.
inScanCount	Number of ScanTemplate objects that will be created inside the map. Range [3, +inf].
inScanWidth	Width of a single ScanTemplate object. Range [1, +inf].
inSamplingParams	Parameters used for the image sampling process.
inEdgeScanParams	Parameters used to control the stripe scanning process.
inEdgeSelection	Select the stripe that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outEdges	Array containing the detected edges. Each element of the array is a Conditional<Edge1D>, which is Null if the detection in the respective segment failed.
outInliers	Array containing the fit inliers. This output is useful only when an MEstimator is selected.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.
outScanSegments	Segments formed by the starting and ending point of each ScanTemplate of the map.

Returns: The path fitted using the stripe midpoints. The object is Null if the fit fails for any reason.

◆ FitSegment() [2/6]

Conditional< Segment2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitSegment	(	Image	inImage,
		SegmentFittingField	inFittingField,
		Optional< UCS2D >	inFieldAlignment = null,
		int	inScanCount = 10,
		int	inScanWidth = 5,
		SamplingParams	inSamplingParams = null,
		RidgeScanParams	inRidgeScanParams = null,
		Selection	inRidgeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		Optional< float >	inMaxError = null,
		Optional< LineMEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Array< Conditional< Ridge1D > > >	outRidges = null,
		Optional< Array< Point2D > >	outInliers = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null,
		Optional< Array< Segment2D > >	outScanSegments = null )

inlinestatic

Fits a segment using the ridges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingField	Field on which the fitting map is based.
inFieldAlignment	Coordinate system used to align the field before creating the map. If Null, no alignment is performed.
inScanCount	Number of ScanTemplate objects that will be created inside the map. Range [3, +inf].
inScanWidth	Width of a single ScanTemplate object. Range [1, +inf].
inSamplingParams	Parameters used for the image sampling process.
inRidgeScanParams	Parameters used to control the ridge scanning process.
inRidgeSelection	Select the ridge that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outRidges	Array containing the detected ridges. Each element of the array is a Conditional<Ridge1D>, which is Null if the detection in the respective segment failed.
outInliers	Array containing the fit inliers. This output is useful only when an MEstimator is selected.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.
outScanSegments	Segments formed by the starting and ending point of each ScanTemplate of the map.

Returns: The fitted segment. The object is Null if the fit fails for any reason.

◆ FitSegment() [3/6]

Conditional< Segment2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitSegment	(	Image	inImage,
		SegmentFittingField	inFittingField,
		Optional< UCS2D >	inFieldAlignment = null,
		int	inScanCount = 10,
		int	inScanWidth = 5,
		SamplingParams	inSamplingParams = null,
		StripeScanParams	inStripeScanParams = null,
		Selection	inStripeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		Optional< float >	inMaxError = null,
		Optional< LineMEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Conditional< Segment2D > >	outLeftSegment = null,
		Optional< Conditional< Segment2D > >	outRightSegment = null,
		Optional< Array< Conditional< Stripe1D > > >	outStripes = null,
		Optional< Array< Point2D > >	outStripePoints = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null,
		Optional< Array< Segment2D > >	outScanSegments = null )

inlinestatic

Fits a segment using the stripes detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingField	Field on which the fitting map is based.
inFieldAlignment	Coordinate system used to align the field before creating the map. If Null, no alignment is performed.
inScanCount	Number of ScanTemplate objects that will be created inside the map. Range [3, +inf].
inScanWidth	Width of a single ScanTemplate object. Range [1, +inf].
inSamplingParams	Parameters used for the image sampling process.
inStripeScanParams	Parameters used to control the stripe scanning process.
inStripeSelection	Select the stripe that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outLeftSegment	Segment fitted using the first points of the stripe segment.
outRightSegment	Segment fitted using the second points of the stripe segment.
outStripes	Array containing the detected stripes. Each element of the array is a Conditional<Stripe1D>, which is Null if the detection in the respective segment failed.
outStripePoints	Array containing the points acquired from each stripe.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.
outScanSegments	Segments formed by the starting and ending point of each ScanTemplate of the map.

Returns: The segment fitted using the stripe midpoints. The object is Null if the fit fails for any reason.

◆ FitSegment() [4/6]

Conditional< Segment2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitSegment	(	Image	inImage,
		SegmentFittingMap	inFittingMap,
		EdgeScanParams	inEdgeScanParams = null,
		Selection	inEdgeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		Optional< float >	inMaxError = null,
		Optional< LineMEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Array< Conditional< Edge1D > > >	outEdges = null,
		Optional< Array< Point2D > >	outInliers = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null )

inlinestatic

Fits a segment using the edges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingMap	Input fitting map. The map must be initialized using the buildSegmentFittingMap() function.
inEdgeScanParams	Parameters used to control the edge scanning process.
inEdgeSelection	Select the edge that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outEdges	Array containing the detected edges. Each element of the array is a Conditional<Edge1D>, which is Null if the detection in the respective segment failed.
outInliers	Array containing the fit inliers. This output is useful only when an MEstimator is selected.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.

Returns: The fitted segment. The object is Null if the fit fails for any reason.

◆ FitSegment() [5/6]

Conditional< Segment2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitSegment	(	Image	inImage,
		SegmentFittingMap	inFittingMap,
		RidgeScanParams	inRidgeScanParams = null,
		Selection	inRidgeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		Optional< float >	inMaxError = null,
		Optional< LineMEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Array< Conditional< Ridge1D > > >	outRidges = null,
		Optional< Array< Point2D > >	outInliers = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null )

inlinestatic

Fits a segment using the ridges detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingMap	Input fitting map. The map must be initialized using the buildSegmentFittingMap() function.
inRidgeScanParams	Parameters used to control the ridge scanning process.
inRidgeSelection	Select the ridge that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outRidges	Array containing the detected ridges. Each element of the array is a Conditional<Ridge1D>, which is Null if the detection in the respective segment failed.
outInliers	Array containing the fit inliers. This output is useful only when an MEstimator is selected.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.

Returns: The fitted segment. The object is Null if the fit fails for any reason.

◆ FitSegment() [6/6]

Conditional< Segment2D > oevislib_net.ComputerVision.ShapeFitting.ShapeFitting.FitSegment	(	Image	inImage,
		SegmentFittingMap	inFittingMap,
		StripeScanParams	inStripeScanParams = null,
		Selection	inStripeSelection = Selection::Best,
		float	inMaxIncompleteness = 0::1f,
		Optional< float >	inMaxError = null,
		Optional< LineMEstimator >	inOutlierSuppression = null,
		Optional< LocalBlindness >	inLocalBlindness = null,
		Optional< Conditional< Segment2D > >	outLeftSegment = null,
		Optional< Conditional< Segment2D > >	outRightSegment = null,
		Optional< Array< Conditional< Stripe1D > > >	outStripes = null,
		Optional< Array< Point2D > >	outStripePoints = null,
		Optional< float >	outError = null,
		Optional< Conditional< Profile > >	outDeviationProfile = null )

inlinestatic

Fits a segment using the stripes detected inside the provided scan template.

Parameters

inImage	Input image. It cannot be empty.
inFittingMap	Input fitting map. The map must be initialized using the buildSegmentFittingMap() function.
inStripeScanParams	Parameters used to control the stripe scanning process.
inStripeSelection	Select the stripe that will be used for the fit in case more than one are detected on the same fit segment.
inMaxIncompleteness	Set the maximum number of missing points that will cause the fit to fail. Range [0, 0.999].
inMaxError	Maximum allowed fit error. If the calculated error is higher, the function will return Null.
inOutlierSuppression	Select the MEstimator used to detect inliers. If Null, no outlier detection is performed.
inLocalBlindness	Parameters used to prevent the detection of weak edges nearby strong edges.
outLeftSegment	Segment fitted using the first points of the stripe segment.
outRightSegment	Segment fitted using the second points of the stripe segment.
outStripes	Array containing the detected stripes. Each element of the array is a Conditional<Stripe1D>, which is Null if the detection in the respective segment failed.
outStripePoints	Array containing the points acquired from each stripe.
outError	Root-Mean-Square Error (RMSE) of the fit.
outDeviationProfile	Profile in which each element is the distance of the detected point from the theoretical value.

Returns: The segment fitted using the stripe midpoints. The object is Null if the fit fails for any reason.

Classes

Functions

Detailed Description

Function Documentation

◆ BuildArcFittingMap()

◆ BuildCircleFittingMap()

◆ BuildPathFittingMap()

◆ BuildSegmentFittingMap()

◆ FitArc() [1/6]

◆ FitArc() [2/6]

◆ FitArc() [3/6]

◆ FitArc() [4/6]

◆ FitArc() [5/6]

◆ FitArc() [6/6]

◆ FitCircle() [1/6]

◆ FitCircle() [2/6]

◆ FitCircle() [3/6]

◆ FitCircle() [4/6]

◆ FitCircle() [5/6]

◆ FitCircle() [6/6]

◆ FitPath() [1/6]

◆ FitPath() [2/6]

◆ FitPath() [3/6]

◆ FitPath() [4/6]

◆ FitPath() [5/6]

◆ FitPath() [6/6]

◆ FitSegment() [1/6]

◆ FitSegment() [2/6]

◆ FitSegment() [3/6]

◆ FitSegment() [4/6]

◆ FitSegment() [5/6]

◆ FitSegment() [6/6]