SuperpixelLSC

Objective-C

@interface SuperpixelLSC : Algorithm

Swift

class SuperpixelLSC : 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

Member of Ximgproc

Methods

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

    Declaration

    Objective-C

    - (int)getNumberOfSuperpixels;

    Swift

    func getNumberOfSuperpixels() -> Int32

  • Enforce label connectivity.

    Declaration

    Objective-C

    - (void)enforceLabelConnectivity:(int)min_element_size;

    Swift

    func enforceLabelConnectivity(min_element_size: Int32)

    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.

  • 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.

    Declaration

    Objective-C

    - (void)enforceLabelConnectivity;

    Swift

    func enforceLabelConnectivity()

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

    Declaration

    Objective-C

    - (void)getLabelContourMask:(nonnull Mat *)image thick_line:(BOOL)thick_line;

    Swift

    func getLabelContourMask(image: Mat, thick_line: Bool)

    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.

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

    Declaration

    Objective-C

    - (void)getLabelContourMask:(nonnull Mat *)image;

    Swift

    func getLabelContourMask(image: Mat)

    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.

  • Returns the segmentation labeling of the image.

     Each label represents a superpixel, and each pixel is assigned to one superpixel label.

    Declaration

    Objective-C

    - (void)getLabels:(nonnull Mat *)labels_out;

    Swift

    func getLabels(labels_out: Mat)

    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()].

  • 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.

    Declaration

    Objective-C

    - (void)iterate:(int)num_iterations;

    Swift

    func iterate(num_iterations: Int32)

    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.

  • 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.

    Declaration

    Objective-C

    - (void)iterate;

    Swift

    func iterate()