Intelligent Scissors image segmentation. More...

Inheritance diagram for OpenCVForUnity.ImgprocModule.IntelligentScissorsMB:

Public Member Functions
IntPtr	getNativeObjAddr ()

	IntelligentScissorsMB ()

IntelligentScissorsMB	setWeights (float weight_non_edge, float weight_gradient_direction, float weight_gradient_magnitude)
	Specify weights of feature functions. More...

IntelligentScissorsMB	setGradientMagnitudeMaxLimit (float gradient_magnitude_threshold_max)
	Specify gradient magnitude max value threshold. More...

IntelligentScissorsMB	setGradientMagnitudeMaxLimit ()
	Specify gradient magnitude max value threshold. More...

IntelligentScissorsMB	setEdgeFeatureZeroCrossingParameters (float gradient_magnitude_min_value)
	Switch to "Laplacian Zero-Crossing" edge feature extractor and specify its parameters. More...

IntelligentScissorsMB	setEdgeFeatureZeroCrossingParameters ()
	Switch to "Laplacian Zero-Crossing" edge feature extractor and specify its parameters. More...

IntelligentScissorsMB	setEdgeFeatureCannyParameters (double threshold1, double threshold2, int apertureSize, bool L2gradient)
	Switch edge feature extractor to use Canny edge detector. More...

IntelligentScissorsMB	setEdgeFeatureCannyParameters (double threshold1, double threshold2, int apertureSize)
	Switch edge feature extractor to use Canny edge detector. More...

IntelligentScissorsMB	setEdgeFeatureCannyParameters (double threshold1, double threshold2)
	Switch edge feature extractor to use Canny edge detector. More...

IntelligentScissorsMB	applyImage (Mat image)
	Specify input image and extract image features. More...

IntelligentScissorsMB	applyImageFeatures (Mat non_edge, Mat gradient_direction, Mat gradient_magnitude, Mat image)
	Specify custom features of input image. More...

IntelligentScissorsMB	applyImageFeatures (Mat non_edge, Mat gradient_direction, Mat gradient_magnitude)
	Specify custom features of input image. More...

void	buildMap (Point sourcePt)
	Prepares a map of optimal paths for the given source point on the image. More...

void	getContour (Point targetPt, Mat contour, bool backward)
	Extracts optimal contour for the given target point on the image. More...

void	getContour (Point targetPt, Mat contour)
	Extracts optimal contour for the given target point on the image. More...

Public Member Functions inherited from OpenCVForUnity.DisposableObject
void	Dispose ()

void	ThrowIfDisposed ()

Static Public Member Functions
static IntelligentScissorsMB	__fromPtr__ (IntPtr addr)

Static Public Member Functions inherited from OpenCVForUnity.DisposableObject
static IntPtr	ThrowIfNullIntPtr (IntPtr ptr)

Protected Member Functions
override void	Dispose (bool disposing)

Protected Member Functions inherited from OpenCVForUnity.DisposableOpenCVObject
	DisposableOpenCVObject ()

	DisposableOpenCVObject (IntPtr ptr)

	DisposableOpenCVObject (bool isEnabledDispose)

	DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose)

Protected Member Functions inherited from OpenCVForUnity.DisposableObject
	DisposableObject ()

	DisposableObject (bool isEnabledDispose)

Additional Inherited Members
Properties inherited from OpenCVForUnity.DisposableObject
bool	IsDisposed `[get, protected set]`

bool	IsEnabledDispose `[get, set]`

Detailed Description

Intelligent Scissors image segmentation.

This class is used to find the path (contour) between two points which can be used for image segmentation.

Usage example:

Reference: <a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.138.3811&rep=rep1&type=pdf">"Intelligent Scissors for Image Composition"</a> algorithm designed by Eric N. Mortensen and William A. Barrett, Brigham Young University [Mortensen95intelligentscissors]

Constructor & Destructor Documentation

◆ IntelligentScissorsMB()

OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.IntelligentScissorsMB ( )

Member Function Documentation

◆ fromPtr()

static IntelligentScissorsMB OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.__fromPtr__ ( IntPtr addr )

static

◆ applyImage()

IntelligentScissorsMB OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.applyImage ( Mat image )

Specify input image and extract image features.

Parameters

image input image. Type is #CV_8UC1 / #CV_8UC3

◆ applyImageFeatures() [1/2]

IntelligentScissorsMB OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.applyImageFeatures	(	Mat	non_edge,
		Mat	gradient_direction,
		Mat	gradient_magnitude,
		Mat	image
	)

Specify custom features of input image.

Customized advanced variant of applyImage() call.

Parameters

non_edge	Specify cost of non-edge pixels. Type is CV_8UC1. Expected values are `{0, 1}`.
gradient_direction	Specify gradient direction feature. Type is CV_32FC2. Values are expected to be normalized: `x^2 + y^2 == 1`
gradient_magnitude	Specify cost of gradient magnitude function: Type is CV_32FC1. Values should be in range `[0, 1]`.
image	Optional parameter. Must be specified if subset of features is specified (non-specified features are calculated internally)

◆ applyImageFeatures() [2/2]

IntelligentScissorsMB OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.applyImageFeatures	(	Mat	non_edge,
		Mat	gradient_direction,
		Mat	gradient_magnitude
	)

Specify custom features of input image.

Customized advanced variant of applyImage() call.

Parameters

non_edge	Specify cost of non-edge pixels. Type is CV_8UC1. Expected values are `{0, 1}`.
gradient_direction	Specify gradient direction feature. Type is CV_32FC2. Values are expected to be normalized: `x^2 + y^2 == 1`
gradient_magnitude	Specify cost of gradient magnitude function: Type is CV_32FC1. Values should be in range `[0, 1]`.
image	Optional parameter. Must be specified if subset of features is specified (non-specified features are calculated internally)

◆ buildMap()

void OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.buildMap ( Point sourcePt )

Prepares a map of optimal paths for the given source point on the image.

Note: applyImage() / applyImageFeatures() must be called before this call

Parameters

sourcePt The source point used to find the paths

◆ Dispose()

override void OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.Dispose ( bool disposing )

protectedvirtual

Reimplemented from OpenCVForUnity.DisposableOpenCVObject.

◆ getContour() [1/2]

void OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.getContour	(	Point	targetPt,
		Mat	contour,
		bool	backward
	)

Extracts optimal contour for the given target point on the image.

Note: buildMap() must be called before this call

Parameters

	targetPt	The target point
[out]	contour	The list of pixels which contains optimal path between the source and the target points of the image. Type is CV_32SC2 (compatible with `std::vector<Point>`)
	backward	Flag to indicate reverse order of retrived pixels (use "true" value to fetch points from the target to the source point)

◆ getContour() [2/2]

void OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.getContour	(	Point	targetPt,
		Mat	contour
	)

Extracts optimal contour for the given target point on the image.

Note: buildMap() must be called before this call

Parameters

	targetPt	The target point
[out]	contour	The list of pixels which contains optimal path between the source and the target points of the image. Type is CV_32SC2 (compatible with `std::vector<Point>`)
	backward	Flag to indicate reverse order of retrived pixels (use "true" value to fetch points from the target to the source point)

◆ getNativeObjAddr()

IntPtr OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.getNativeObjAddr ( )

◆ setEdgeFeatureCannyParameters() [1/3]

IntelligentScissorsMB OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.setEdgeFeatureCannyParameters	(	double	threshold1,
		double	threshold2,
		int	apertureSize,
		bool	L2gradient
	)

Switch edge feature extractor to use Canny edge detector.

Note: "Laplacian Zero-Crossing" feature extractor is used by default (following to original article)

See also: Canny

◆ setEdgeFeatureCannyParameters() [2/3]

IntelligentScissorsMB OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.setEdgeFeatureCannyParameters	(	double	threshold1,
		double	threshold2,
		int	apertureSize
	)

Switch edge feature extractor to use Canny edge detector.

Note: "Laplacian Zero-Crossing" feature extractor is used by default (following to original article)

See also: Canny

◆ setEdgeFeatureCannyParameters() [3/3]

IntelligentScissorsMB OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.setEdgeFeatureCannyParameters	(	double	threshold1,
		double	threshold2
	)

Switch edge feature extractor to use Canny edge detector.

Note: "Laplacian Zero-Crossing" feature extractor is used by default (following to original article)

See also: Canny

◆ setEdgeFeatureZeroCrossingParameters() [1/2]

IntelligentScissorsMB OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.setEdgeFeatureZeroCrossingParameters ( float gradient_magnitude_min_value )

Switch to "Laplacian Zero-Crossing" edge feature extractor and specify its parameters.

This feature extractor is used by default according to article.

Implementation has additional filtering for regions with low-amplitude noise. This filtering is enabled through parameter of minimal gradient amplitude (use some small value 4, 8, 16).

Note: Current implementation of this feature extractor is based on processing of grayscale images (color image is converted to grayscale image first).; Canny edge detector is a bit slower, but provides better results (especially on color images): use setEdgeFeatureCannyParameters().

Parameters

gradient_magnitude_min_value Minimal gradient magnitude value for edge pixels (default: 0, check is disabled)

◆ setEdgeFeatureZeroCrossingParameters() [2/2]

IntelligentScissorsMB OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.setEdgeFeatureZeroCrossingParameters ( )

Switch to "Laplacian Zero-Crossing" edge feature extractor and specify its parameters.

This feature extractor is used by default according to article.

Implementation has additional filtering for regions with low-amplitude noise. This filtering is enabled through parameter of minimal gradient amplitude (use some small value 4, 8, 16).

Note: Current implementation of this feature extractor is based on processing of grayscale images (color image is converted to grayscale image first).; Canny edge detector is a bit slower, but provides better results (especially on color images): use setEdgeFeatureCannyParameters().

Parameters

gradient_magnitude_min_value Minimal gradient magnitude value for edge pixels (default: 0, check is disabled)

◆ setGradientMagnitudeMaxLimit() [1/2]

IntelligentScissorsMB OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.setGradientMagnitudeMaxLimit ( float gradient_magnitude_threshold_max )

Specify gradient magnitude max value threshold.

Zero limit value is used to disable gradient magnitude thresholding (default behavior, as described in original article). Otherwize pixels with gradient magnitude >= threshold have zero cost.

Note: Thresholding should be used for images with irregular regions (to avoid stuck on parameters from high-contract areas, like embedded logos).

Parameters

gradient_magnitude_threshold_max Specify gradient magnitude max value threshold (default: 0, disabled)

◆ setGradientMagnitudeMaxLimit() [2/2]

IntelligentScissorsMB OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.setGradientMagnitudeMaxLimit ( )

Specify gradient magnitude max value threshold.

Zero limit value is used to disable gradient magnitude thresholding (default behavior, as described in original article). Otherwize pixels with gradient magnitude >= threshold have zero cost.

Note: Thresholding should be used for images with irregular regions (to avoid stuck on parameters from high-contract areas, like embedded logos).

Parameters

gradient_magnitude_threshold_max Specify gradient magnitude max value threshold (default: 0, disabled)

◆ setWeights()

IntelligentScissorsMB OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.setWeights	(	float	weight_non_edge,
		float	weight_gradient_direction,
		float	weight_gradient_magnitude
	)

Specify weights of feature functions.

Consider keeping weights normalized (sum of weights equals to 1.0) Discrete dynamic programming (DP) goal is minimization of costs between pixels.

Parameters

weight_non_edge	Specify cost of non-edge pixels (default: 0.43f)
weight_gradient_direction	Specify cost of gradient direction function (default: 0.43f)
weight_gradient_magnitude	Specify cost of gradient magnitude function (default: 0.14f)

The documentation for this class was generated from the following file:

OpenCVForUnity/Assets/OpenCVForUnity/org/opencv/imgproc/IntelligentScissorsMB.cs

Public Member Functions

Static Public Member Functions

Protected Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ IntelligentScissorsMB()

Member Function Documentation

◆ __fromPtr__()

◆ applyImage()

◆ applyImageFeatures() [1/2]

◆ applyImageFeatures() [2/2]

◆ buildMap()

◆ Dispose()

◆ getContour() [1/2]

◆ getContour() [2/2]

◆ getNativeObjAddr()

◆ setEdgeFeatureCannyParameters() [1/3]

◆ setEdgeFeatureCannyParameters() [2/3]

◆ setEdgeFeatureCannyParameters() [3/3]

◆ setEdgeFeatureZeroCrossingParameters() [1/2]

◆ setEdgeFeatureZeroCrossingParameters() [2/2]

◆ setGradientMagnitudeMaxLimit() [1/2]

◆ setGradientMagnitudeMaxLimit() [2/2]

◆ setWeights()

◆ fromPtr()