opencv2/ximgproc.hpp#
#include <ximgproc/edge_filter.hpp>
#include <ximgproc/disparity_filter.hpp>
#include <ximgproc/sparse_match_interpolator.hpp>
#include <ximgproc/structured_edge_detection.hpp>
#include <ximgproc/edgeboxes.hpp>
#include <ximgproc/edge_drawing.hpp>
#include <ximgproc/scansegment.hpp>
#include <ximgproc/seeds.hpp>
#include <ximgproc/segmentation.hpp>
#include <ximgproc/fast_hough_transform.hpp>
#include <ximgproc/estimated_covariance.hpp>
#include <ximgproc/weighted_median_filter.hpp>
#include <ximgproc/slic.hpp>
#include <ximgproc/lsc.hpp>
#include <ximgproc/paillou_filter.hpp>
#include <ximgproc/fast_line_detector.hpp>
#include <ximgproc/deriche_filter.hpp>
#include <ximgproc/peilin.hpp>
#include <ximgproc/fourier_descriptors.hpp>
#include <ximgproc/ridgefilter.hpp>
#include <ximgproc/brightedges.hpp>
#include <ximgproc/run_length_morphology.hpp>
#include <ximgproc/edgepreserving_filter.hpp>
#include <ximgproc/color_match.hpp>
#include <ximgproc/radon_transform.hpp>
#include <ximgproc/find_ellipses.hpp>
Include dependency graph for ximgproc.hpp:
Namespaces#
namespace cv
namespace cv::ximgproc
Enumerations#
enum cv::ximgproc::LocalBinarizationMethods { BINARIZATION_NIBLACK = 0, BINARIZATION_SAUVOLA = 1, BINARIZATION_WOLF = 2, BINARIZATION_NICK = 3 }
Specifies the binarization method to use in cv::ximgproc::niBlackThreshold. More…
enum cv::ximgproc::ThinningTypes { THINNING_ZHANGSUEN = 0, THINNING_GUOHALL = 1 }
Functions#
void cv::ximgproc::anisotropicDiffusion (InputArray src, OutputArray dst, float alpha, float K, int niters)
Performs anisotropic diffusion on an image.
void cv::ximgproc::niBlackThreshold (InputArray _src, OutputArray _dst, double maxValue, int type, int blockSize, double k, int binarizationMethod=BINARIZATION_NIBLACK, double r=128)
Performs thresholding on input images using Niblack’s technique or some of the popular variations it inspired.
void cv::ximgproc::thinning (InputArray src, OutputArray dst, int thinningType=THINNING_ZHANGSUEN)
Applies a binary blob thinning operation, to achieve a skeletization of the input image.