org.opencv.ximgproc

Class SuperpixelLSC

java.lang.Object

org.opencv.core.Algorithm

org.opencv.ximgproc.SuperpixelLSC

public class SuperpixelLSC
extends Algorithm

Class implementing the LSC (Linear Spectral Clustering) superpixels algorithm described in CITE: LiCVPR2015LSC. LSC (Linear Spectral Clustering) produces compact and uniform superpixels with low computational costs. Basically, a normalized cuts formulation of the superpixel segmentation is adopted based on a similarity metric that measures the color similarity and space proximity between image pixels. LSC is of linear computational complexity and high memory efficiency and is able to preserve global properties of images

Field Summary

Fields inherited from class org.opencv.core.Algorithm

nativeObj

Constructor Summary

Constructors

Modifier	Constructor and Description
protected	SuperpixelLSC(long addr)

Method Summary

Modifier and Type	Method and Description
static SuperpixelLSC	__fromPtr__(long addr)
void	enforceLabelConnectivity() Enforce label connectivity.
void	enforceLabelConnectivity(int min_element_size) Enforce label connectivity.
protected void	finalize()
void	getLabelContourMask(Mat image) Returns the mask of the superpixel segmentation stored in SuperpixelLSC object.
void	getLabelContourMask(Mat image, boolean thick_line) Returns the mask of the superpixel segmentation stored in SuperpixelLSC object.
void	getLabels(Mat labels_out) Returns the segmentation labeling of the image.
int	getNumberOfSuperpixels() Calculates the actual amount of superpixels on a given segmentation computed and stored in SuperpixelLSC object.
void	iterate() Calculates the superpixel segmentation on a given image with the initialized parameters in the SuperpixelLSC object.
void	iterate(int num_iterations) Calculates the superpixel segmentation on a given image with the initialized parameters in the SuperpixelLSC object.

Methods inherited from class org.opencv.core.Algorithm

clear, empty, getDefaultName, getNativeObjAddr, save

Methods inherited from class java.lang.Object

clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

SuperpixelLSC

protected SuperpixelLSC(long addr)

Method Detail

__fromPtr__

public static SuperpixelLSC __fromPtr__(long addr)

getNumberOfSuperpixels

public int getNumberOfSuperpixels()

Calculates the actual amount of superpixels on a given segmentation computed and stored in SuperpixelLSC object.

Returns:

automatically generated

enforceLabelConnectivity

public void enforceLabelConnectivity(int min_element_size)

Enforce label connectivity.

Parameters:

min_element_size - The minimum element size in percents that should be absorbed into a bigger superpixel. Given resulted average superpixel size valid value should be in 0-100 range, 25 means that less then a quarter sized superpixel should be absorbed, this is default. The function merge component that is too small, assigning the previously found adjacent label to this component. Calling this function may change the final number of superpixels.

enforceLabelConnectivity

public void enforceLabelConnectivity()

Enforce label connectivity. superpixel. Given resulted average superpixel size valid value should be in 0-100 range, 25 means that less then a quarter sized superpixel should be absorbed, this is default. The function merge component that is too small, assigning the previously found adjacent label to this component. Calling this function may change the final number of superpixels.

getLabelContourMask

public void getLabelContourMask(Mat image,
                                boolean thick_line)

Returns the mask of the superpixel segmentation stored in SuperpixelLSC object.

Parameters:

image - Return: CV_8U1 image mask where -1 indicates that the pixel is a superpixel border, and 0 otherwise.

thick_line - If false, the border is only one pixel wide, otherwise all pixels at the border are masked. The function return the boundaries of the superpixel segmentation.

getLabelContourMask

public void getLabelContourMask(Mat image)

Returns the mask of the superpixel segmentation stored in SuperpixelLSC object.

Parameters:

image - Return: CV_8U1 image mask where -1 indicates that the pixel is a superpixel border, and 0 otherwise. are masked. The function return the boundaries of the superpixel segmentation.

getLabels

public void getLabels(Mat labels_out)

Returns the segmentation labeling of the image. Each label represents a superpixel, and each pixel is assigned to one superpixel label.

Parameters:

labels_out - Return: A CV_32SC1 integer array containing the labels of the superpixel segmentation. The labels are in the range [0, getNumberOfSuperpixels()]. The function returns an image with the labels of the superpixel segmentation. The labels are in the range [0, getNumberOfSuperpixels()].

iterate

public void iterate(int num_iterations)

Calculates the superpixel segmentation on a given image with the initialized parameters in the SuperpixelLSC object. This function can be called again without the need of initializing the algorithm with createSuperpixelLSC(). This save the computational cost of allocating memory for all the structures of the algorithm.

Parameters:

num_iterations - Number of iterations. Higher number improves the result. The function computes the superpixels segmentation of an image with the parameters initialized with the function createSuperpixelLSC(). The algorithms starts from a grid of superpixels and then refines the boundaries by proposing updates of edges boundaries.

iterate

public void iterate()

Calculates the superpixel segmentation on a given image with the initialized parameters in the SuperpixelLSC object. This function can be called again without the need of initializing the algorithm with createSuperpixelLSC(). This save the computational cost of allocating memory for all the structures of the algorithm. The function computes the superpixels segmentation of an image with the parameters initialized with the function createSuperpixelLSC(). The algorithms starts from a grid of superpixels and then refines the boundaries by proposing updates of edges boundaries.

finalize

protected void finalize()
                 throws Throwable

Overrides:

finalize in class Algorithm

Throws:

Throwable