Local Transforms

Functions
Image	oevislib_net.Image.Convolve (Matrix inMask, bool inNormalizeMask=false, Point2Di inMaskOrigin=null, Optional< Region > inRoi=null)
	Computes a convolution of the image.
Image	oevislib_net.Image.Gradients (float inStdDevX, Optional< float > inStdDevY=null, Optional< Region > inRoi=null)
	Computes the gradients of the image using a Gaussian kernel.
Image	oevislib_net.Image.Gradients (GradientMethod inGradientMethod, int inScale, Optional< Region > inRoi=null)
	Computes the gradients of the image.
Image	oevislib_net.Image.Gradients (DifferentiationMethod inDifferentiationMethod, GradientOrientation inGradientOrientation, EdgeTransition inEdgeTransition, Optional< Region > inRoi)
	Compute the gradients of the image in a specific direction.
Image	oevislib_net.Image.MeasureGradients (GradientMethod inGradientMethod, MagnitudeMeasure inMagnitudeMeasure, int inScale, Optional< Region > inRoi)
	Measures the strength of the gradient in each pixel.
Image	oevislib_net.Image.GradientDirections (GradientMethod inGradientMethod, float inEdgeThreshold, AngleRange inAngleRange, Optional< Region > inRoi)
	Computes the gradient directions.
Image	oevislib_net.Image.DifferenceOfGaussians (float inStdDev, float inStdDevRatio, float inKernelRelativeSize, float inScale, Optional< Region > inRoi, Optional< Profile > outKernelShape)
	Computes the difference between two Gaussian smoothed images.
Image	oevislib_net.Image.GetStdDevImage (int inKernelRadius, Optional< Region > inRoi=null, Optional< Region > inSourceRoi=null)
	Creates an image with as pixels their local standard deviations.

Detailed Description

Function Documentation

Convolve()

Image oevislib_net.Image.Convolve ( Matrix inMask, bool inNormalizeMask = false, Point2Di inMaskOrigin = null, Optional< Region > inRoi = null )

inline

Computes a convolution of the image.

The operation consists of sliding the kernel over the image and multiplying the elements inside the kernel with the corresponding pixels in the image. The sum of the products is then assigned to the corresponding pixel in the output image.

Parameters

inMask	Convolution kernel.
inNormalizeMask	Whether to normalize the sum of the weights in the mask to one.
inMaskOrigin	Relative position of the mask origin.
inRoi	Range of pixels to be updated in the output image.

Returns

Output image.

DifferenceOfGaussians()

Image oevislib_net.Image.DifferenceOfGaussians ( float inStdDev, float inStdDevRatio, float inKernelRelativeSize, float inScale, Optional< Region > inRoi, Optional< Profile > outKernelShape )

inline

Computes the difference between two Gaussian smoothed images.

Parameters

inStdDev	Standard deviation for the smaller kernel. Range: [0, +inf).
inStdDevRatio	Multiplier for inStdDev to obtain the second, larger, kernel. Range: [1, +inf).
inKernelRelativeSize	Multiplier for inStdDev determining the size of the kernel. Range: [0, 3].
inScale	Scaling factor on the resulting image.
inRoi	Region of interest.
outKernelShape	Middle row of the kernel.

Returns

Output image.

GetStdDevImage()

Image oevislib_net.Image.GetStdDevImage ( int inKernelRadius, Optional< Region > inRoi = null, Optional< Region > inSourceRoi = null )

inline

Creates an image with as pixels their local standard deviations.

Parameters

inKernelRadius	Kernel radius (on both directions). Range: [1, 40].
inRoi	Range of pixels to be updated in the output image.
inSourceRoi	Range of input pixels to be considered in computations.

Returns

Output image.

GradientDirections()

Image oevislib_net.Image.GradientDirections ( GradientMethod inGradientMethod, float inEdgeThreshold, AngleRange inAngleRange, Optional< Region > inRoi )

inline

Computes the gradient directions.

A pixel set to zero means that no edge was found.

Parameters

inGradientMethod	Defines how the gradient is computed.
inEdgeThreshold	Minimum edge magnitude (pixels less than this value will be set to 0). Range: [0.01, +inf).
inAngleRange	Range of angles to consider.
inRoi	Region of interest.

Returns

Gradient directions.

Gradients() [1/3]

Image oevislib_net.Image.Gradients ( DifferentiationMethod inDifferentiationMethod, GradientOrientation inGradientOrientation, EdgeTransition inEdgeTransition, Optional< Region > inRoi )

inline

Compute the gradients of the image in a specific direction.

Parameters

inDifferentiationMethod	Differentiation method.
inGradientOrientation	Gradient orientation.
inEdgeTransition	Edge transition.
inRoi	Region of interest.

Returns

Gradient magnitudes of the image.

Gradients() [2/3]

Image oevislib_net.Image.Gradients ( float inStdDevX, Optional< float > inStdDevY = null, Optional< Region > inRoi = null )

inline

Computes the gradients of the image using a Gaussian kernel.

The output pixels are signed.

Parameters

inStdDevX	Standard deviation on X axis. Range: [0, +inf).
inStdDevY	Standard deviation on Y axis (equal to inStdDevX if not specified). Range: [0, +inf).
inRoi	Region of interest.

Returns

Gradients of the image.

Gradients() [3/3]

Image oevislib_net.Image.Gradients ( GradientMethod inGradientMethod, int inScale, Optional< Region > inRoi = null )

inline

Computes the gradients of the image.

The output pixels are signed.

Parameters

inGradientMethod	Defines how the gradient is computed.
inScale	Scale of the resulting gradients. Range: [1, 16].
inRoi	Region of interest.

Returns

Gradients of the image.

MeasureGradients()

Image oevislib_net.Image.MeasureGradients ( GradientMethod inGradientMethod, MagnitudeMeasure inMagnitudeMeasure, int inScale, Optional< Region > inRoi )

inline

Measures the strength of the gradient in each pixel.

The output pixels are signed.

Parameters

inGradientMethod	Defines how the gradient is computed.
inMagnitudeMeasure	Defines how the gradient magnitude is computed.
inScale	Scale of the resulting gradients. Range: [1, 16].
inRoi	Region of interest.

Returns

Gradient magnitudes.