// // This file is auto-generated. Please don't modify it! // #pragma once #ifdef __cplusplus //#import "opencv.hpp" #import "opencv2/ximgproc.hpp" #import "opencv2/ximgproc/slic.hpp" #else #define CV_EXPORTS #endif #import #import "Algorithm.h" @class Mat; NS_ASSUME_NONNULL_BEGIN // C++: class SuperpixelSLIC /** * 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` */ CV_EXPORTS @interface SuperpixelSLIC : Algorithm #ifdef __cplusplus @property(readonly)cv::Ptr nativePtrSuperpixelSLIC; #endif #ifdef __cplusplus - (instancetype)initWithNativePtr:(cv::Ptr)nativePtr; + (instancetype)fromNative:(cv::Ptr)nativePtr; #endif #pragma mark - Methods // // int cv::ximgproc::SuperpixelSLIC::getNumberOfSuperpixels() // /** * Calculates the actual amount of superpixels on a given segmentation computed * and stored in SuperpixelSLIC object. */ - (int)getNumberOfSuperpixels NS_SWIFT_NAME(getNumberOfSuperpixels()); // // void cv::ximgproc::SuperpixelSLIC::iterate(int num_iterations = 10) // /** * 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. * * @param 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. */ - (void)iterate:(int)num_iterations NS_SWIFT_NAME(iterate(num_iterations:)); /** * 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. */ - (void)iterate NS_SWIFT_NAME(iterate()); // // void cv::ximgproc::SuperpixelSLIC::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. * * @param 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()]. */ - (void)getLabels:(Mat*)labels_out NS_SWIFT_NAME(getLabels(labels_out:)); // // void cv::ximgproc::SuperpixelSLIC::getLabelContourMask(Mat& image, bool thick_line = true) // /** * Returns the mask of the superpixel segmentation stored in SuperpixelSLIC object. * * @param image Return: CV_8U1 image mask where -1 indicates that the pixel is a superpixel border, * and 0 otherwise. * * @param 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. */ - (void)getLabelContourMask:(Mat*)image thick_line:(BOOL)thick_line NS_SWIFT_NAME(getLabelContourMask(image:thick_line:)); /** * Returns the mask of the superpixel segmentation stored in SuperpixelSLIC object. * * @param 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. */ - (void)getLabelContourMask:(Mat*)image NS_SWIFT_NAME(getLabelContourMask(image:)); // // void cv::ximgproc::SuperpixelSLIC::enforceLabelConnectivity(int min_element_size = 25) // /** * Enforce label connectivity. * * @param 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. */ - (void)enforceLabelConnectivity:(int)min_element_size NS_SWIFT_NAME(enforceLabelConnectivity(min_element_size:)); /** * 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. */ - (void)enforceLabelConnectivity NS_SWIFT_NAME(enforceLabelConnectivity()); @end NS_ASSUME_NONNULL_END