Intelligent Scissors image segmentation. More...

Public Member Functions
	IntelligentScissorsMB ()

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

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

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

void	buildMap (in Vec2d sourcePt)
	Prepares a map of optimal paths for the given source point on the image.

void	buildMap (in(double x, double y) sourcePt)
	Prepares a map of optimal paths for the given source point on the image.

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

void	getContour (in Vec2d targetPt, Mat contour)
	Extracts optimal contour for the given target point on the image.

void	getContour (in Vec2d targetPt, Mat contour, bool backward)
	Extracts optimal contour for the given target point on the image.

void	getContour (in(double x, double y) targetPt, Mat contour)
	Extracts optimal contour for the given target point on the image.

void	getContour (in(double x, double y) targetPt, Mat contour, bool backward)
	Extracts optimal contour for the given target point on the image.

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

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

IntPtr	getNativeObjAddr ()

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

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

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

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

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

IntelligentScissorsMB	setGradientMagnitudeMaxLimit ()
	Specify gradient magnitude max value threshold.

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

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

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 (bool isEnabledDispose)

	DisposableOpenCVObject (IntPtr ptr)

	DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose)

Protected Member Functions inherited from OpenCVForUnity.DisposableObject
	DisposableObject ()

	DisposableObject (bool isEnabledDispose)

Additional Inherited Members
Package Attributes inherited from OpenCVForUnity.DisposableOpenCVObject
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 )

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,
		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)

◆ buildMap() [1/3]

void OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.buildMap ( in Vec2d 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

◆ buildMap() [2/3]

void OpenCVForUnity.ImgprocModule.IntelligentScissorsMB.buildMap ( in(double x, double y) 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

◆ buildMap() [3/3]

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.