Package org.opencv.ximgproc
Class SuperpixelLSC
java.lang.Object
org.opencv.core.Algorithm
org.opencv.ximgproc.SuperpixelLSC
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
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Field Summary
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionstatic SuperpixelLSC
__fromPtr__
(long addr) void
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
Returns the segmentation labeling of the image.int
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
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Constructor Details
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SuperpixelLSC
protected SuperpixelLSC(long addr)
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Method Details
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__fromPtr__
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getNumberOfSuperpixels
public int getNumberOfSuperpixels()Calculates the actual amount of superpixels on a given segmentation computed and stored in SuperpixelLSC object.- Returns:
- automatically generated
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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.
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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. -
getLabels
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()].
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getLabelContourMask
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.
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getLabelContourMask
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.
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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.
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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. -
finalize
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