Uses of Class
org.opencv.imgproc.IntelligentScissorsMB

Packages that use IntelligentScissorsMB

Package	Description
org.opencv.imgproc

Uses of IntelligentScissorsMB in org.opencv.imgproc

Methods in org.opencv.imgproc that return IntelligentScissorsMB

Modifier and Type	Method	Description
static IntelligentScissorsMB	IntelligentScissorsMB.__fromPtr__(long addr)
IntelligentScissorsMB	IntelligentScissorsMB.applyImage(Mat image)	Specify input image and extract image features
IntelligentScissorsMB	IntelligentScissorsMB.applyImageFeatures(Mat non_edge, Mat gradient_direction, Mat gradient_magnitude)	Specify custom features of input image
IntelligentScissorsMB	IntelligentScissorsMB.applyImageFeatures(Mat non_edge, Mat gradient_direction, Mat gradient_magnitude, Mat image)	Specify custom features of input image
IntelligentScissorsMB	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)
IntelligentScissorsMB	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)
IntelligentScissorsMB	IntelligentScissorsMB.setEdgeFeatureCannyParameters(double threshold1, double threshold2, int apertureSize, boolean L2gradient)	Switch edge feature extractor to use Canny edge detector Note: "Laplacian Zero-Crossing" feature extractor is used by default (following to original article)
IntelligentScissorsMB	IntelligentScissorsMB.setEdgeFeatureZeroCrossingParameters()	Switch to "Laplacian Zero-Crossing" edge feature extractor and specify its parameters
IntelligentScissorsMB	IntelligentScissorsMB.setEdgeFeatureZeroCrossingParameters(float gradient_magnitude_min_value)	Switch to "Laplacian Zero-Crossing" edge feature extractor and specify its parameters
IntelligentScissorsMB	IntelligentScissorsMB.setGradientMagnitudeMaxLimit()	Specify gradient magnitude max value threshold
IntelligentScissorsMB	IntelligentScissorsMB.setGradientMagnitudeMaxLimit(float gradient_magnitude_threshold_max)	Specify gradient magnitude max value threshold
IntelligentScissorsMB	IntelligentScissorsMB.setWeights(float weight_non_edge, float weight_gradient_direction, float weight_gradient_magnitude)	Specify weights of feature functions