Hough Transform

Functions
static Array< Line2D >	oevislib_net.ComputerVision.HoughTransform.HoughTransform.FindHoughLines (Image inImage, Optional< Region > inRoi=null, float inMinEdgeThreshold=60.0f, float inMaxEdgeThreshold=80.0f, float inAngleResolution=1.0f, float inMinGap=20.0f, float inMinScore=100.0f, Optional< Array< float > > outScores=null, Optional< Image > outThresholdedImage=null)
	Finds lines in the provided image using the Hough Transform algorithm.
static Array< Circle2D >	oevislib_net.ComputerVision.HoughTransform.HoughTransform.FindHoughCircles (Image inImage, Optional< Region > inRoi=null, float inMinRadius=50.0f, float inMaxRadius=100.0f, float inMinDistance=100.0f, float inMinScore=10.0f, float inEdgeThreshold=50.0f, Optional< Array< float > > outScores=null)
	Finds circles in the provided image using the Hough Transform algorithm.
static Array< Segment2D >	oevislib_net.ComputerVision.HoughTransform.HoughTransform.FindHoughSegments (Image inImage, Optional< Region > inRoi=null, float inMinEdgeThreshold=60.0f, float inMaxEdgeThreshold=80.0f, float inAngleResolution=1.0f, float inMinLength=20.0f, float inMinScore=20.0f, Optional< Image > outThresholdedImage=null)
	Finds segments in the provided image using the Hough Transform algorithm.

Detailed Description

Function Documentation

FindHoughCircles()

Array< Circle2D > oevislib_net.ComputerVision.HoughTransform.HoughTransform.FindHoughCircles ( Image inImage, Optional< Region > inRoi = null, float inMinRadius = 50::0f, float inMaxRadius = 100::0f, float inMinDistance = 100::0f, float inMinScore = 10::0f, float inEdgeThreshold = 50::0f, Optional< Array< float > > outScores = null )

inlinestatic

Finds circles in the provided image using the Hough Transform algorithm.

Parameters

inImage	Input image. The image type must be UInt8.
inRoi	Region of the image considered by the algorithm.
inMinRadius	Minimum value of the circle radius. The value must be in range [0, +inf].
inMaxRadius	Maximum value of the circle radius. The value must be in range [0, +inf].
inMinDistance	Minium distance between circles center. The value must be in range [0.01, +inf].
inMinScore	Circles that receive a lower score from the algorithm will be neglected. The value must be in range [0, +inf].
inEdgeThreshold	Threshold applied to the image before being passed to the Hough algorithm.
outScores	Scores assigned by the algorithm to the respective output circle.

Returns

Array with all the circles found by the algorithm.

FindHoughLines()

Array< Line2D > oevislib_net.ComputerVision.HoughTransform.HoughTransform.FindHoughLines ( Image inImage, Optional< Region > inRoi = null, float inMinEdgeThreshold = 60::0f, float inMaxEdgeThreshold = 80::0f, float inAngleResolution = 1::0f, float inMinGap = 20::0f, float inMinScore = 100::0f, Optional< Array< float > > outScores = null, Optional< Image > outThresholdedImage = null )

inlinestatic

Finds lines in the provided image using the Hough Transform algorithm.

Parameters

inImage	Input image. The image type must be UInt8.
inRoi	Region of the image considered by the algorithm.
inMinEdgeThreshold	Lower edge intensity threshold. Range [0, +inf].
inMaxEdgeThreshold	Higher edge intensity threshold. Range [0, +inf].
inAngleResolution	Resolution of the lines' orientation [deg]. The value must be in range [0.01, 180].
inMinGap	Minimum distance between two lines. The value must be in range [0, +inf].
inMinScore	Lines that receive a lower score from the algorithm will be neglected. The value must be in range [0, +inf].
outScores	Scores assigned by the algorithm to the respective output circle.
outThresholdedImage	The image used from the Hough algorithm, obtained after the application of the thresholding process.

Returns

Array with all the lines found by the algorithm.

FindHoughSegments()

Array< Segment2D > oevislib_net.ComputerVision.HoughTransform.HoughTransform.FindHoughSegments ( Image inImage, Optional< Region > inRoi = null, float inMinEdgeThreshold = 60::0f, float inMaxEdgeThreshold = 80::0f, float inAngleResolution = 1::0f, float inMinLength = 20::0f, float inMinScore = 20::0f, Optional< Image > outThresholdedImage = null )

inlinestatic

Finds segments in the provided image using the Hough Transform algorithm.

Parameters

inImage	Input image. The image type must be UInt8.
inRoi	Region of the image considered by the algorithm.
inMinEdgeThreshold	Lower edge intensity threshold. Range [0, +inf].
inMaxEdgeThreshold	Higher edge intensity threshold. Range [0, +inf].
inAngleResolution	Resolution of the lines' orientation [deg]. Range [0.01, 180].
inMinLength	Segments shorter than this value will be neglected. Range [0, +inf].
inMinScore	Segments that receive a lower score from the algorithm will be neglected. The value must be in range [0, +inf].
outThresholdedImage	The input image after the application of the thresholding process.

Returns

Array with all the segments found by the algorithm.