OpenCV
4.1.0
Open Source Computer Vision
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#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/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"
Namespaces | |
namespace | cv |
"black box" representation of the file storage associated with a file on disk. | |
namespace | cv::ximgproc |
Enumerations | |
enum | cv::ximgproc::LocalBinarizationMethods { cv::ximgproc::BINARIZATION_NIBLACK = 0, cv::ximgproc::BINARIZATION_SAUVOLA = 1, cv::ximgproc::BINARIZATION_WOLF = 2, cv::ximgproc::BINARIZATION_NICK = 3 } |
Specifies the binarization method to use in cv::ximgproc::niBlackThreshold. More... | |
enum | cv::ximgproc::ThinningTypes { cv::ximgproc::THINNING_ZHANGSUEN = 0, cv::ximgproc::THINNING_GUOHALL = 1 } |
Functions | |
void | cv::ximgproc::anisotropicDiffusion (InputArray src, OutputArray dst, float alpha, float K, int niters) |
Performs anisotropic diffusian on an image. | |
void | cv::ximgproc::niBlackThreshold (InputArray _src, OutputArray _dst, double maxValue, int type, int blockSize, double k, int binarizationMethod=BINARIZATION_NIBLACK) |
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. | |