SuperpixelSLIC

Objective-C

@interface SuperpixelSLIC : Algorithm

Swift

class SuperpixelSLIC : Algorithm

Class implementing the SLIC (Simple Linear Iterative Clustering) superpixels algorithm described in CITE: Achanta2012.

SLIC (Simple Linear Iterative Clustering) clusters pixels using pixel channels and image plane space to efficiently generate compact, nearly uniform superpixels. The simplicity of approach makes it extremely easy to use a lone parameter specifies the number of superpixels and the efficiency of the algorithm makes it very practical. Several optimizations are available for SLIC class: SLICO stands for “Zero parameter SLIC” and it is an optimization of baseline SLIC described in CITE: Achanta2012. MSLIC stands for “Manifold SLIC” and it is an optimization of baseline SLIC described in CITE: Liu_2017_IEEE.

Member of Ximgproc

Methods

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

     This function can be called again without the need of initializing the algorithm with
 createSuperpixelSLIC(). 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 createSuperpixelSLIC(). 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 SuperpixelSLIC object.

     This function can be called again without the need of initializing the algorithm with
 createSuperpixelSLIC(). 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 createSuperpixelSLIC(). 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()