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Name	Size	Modified	Perms
📁 ..	-	10/28/2024 06:50:42 AM	rwxr-xr-x
📁 aruco	-	10/28/2024 06:50:42 AM	rwxr-xr-x
📄 aruco.hpp	26.46 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 bgsegm.hpp	7.34 KB	05/12/2017 03:45:27 AM	rw-r--r--
📁 bioinspired	-	10/28/2024 06:50:42 AM	rwxr-xr-x
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📁 calib3d	-	10/28/2024 06:50:35 AM	rwxr-xr-x
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📁 ccalib	-	10/28/2024 06:50:42 AM	rwxr-xr-x
📄 ccalib.hpp	6.62 KB	05/12/2017 03:45:27 AM	rw-r--r--
📁 core	-	10/28/2024 06:50:34 AM	rwxr-xr-x
📄 core.hpp	144.3 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 cvconfig.h	4.03 KB	09/20/2018 09:28:13 AM	rw-r--r--
📁 datasets	-	10/28/2024 06:50:42 AM	rwxr-xr-x
📄 dpm.hpp	6.61 KB	05/12/2017 03:45:27 AM	rw-r--r--
📁 face	-	10/28/2024 06:50:42 AM	rwxr-xr-x
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📁 features2d	-	10/28/2024 06:50:35 AM	rwxr-xr-x
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📁 flann	-	10/28/2024 06:50:34 AM	rwxr-xr-x
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📄 freetype.hpp	4.8 KB	05/12/2017 03:45:27 AM	rw-r--r--
📁 fuzzy	-	10/28/2024 06:50:42 AM	rwxr-xr-x
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📁 highgui	-	10/28/2024 06:50:35 AM	rwxr-xr-x
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📁 imgcodecs	-	10/28/2024 06:50:34 AM	rwxr-xr-x
📄 imgcodecs.hpp	15.04 KB	05/12/2017 03:45:27 AM	rw-r--r--
📁 imgproc	-	10/28/2024 06:50:34 AM	rwxr-xr-x
📄 imgproc.hpp	217.44 KB	05/12/2017 03:45:27 AM	rw-r--r--
📁 line_descriptor	-	10/28/2024 06:50:42 AM	rwxr-xr-x
📄 line_descriptor.hpp	6.67 KB	05/12/2017 03:45:27 AM	rw-r--r--
📁 ml	-	10/28/2024 06:50:35 AM	rwxr-xr-x
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📁 objdetect	-	10/28/2024 06:50:41 AM	rwxr-xr-x
📄 objdetect.hpp	22.2 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 opencv.hpp	4.34 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 opencv_modules.hpp	1.46 KB	09/20/2018 09:28:13 AM	rw-r--r--
📁 optflow	-	10/28/2024 06:50:42 AM	rwxr-xr-x
📄 optflow.hpp	16.41 KB	05/12/2017 03:45:27 AM	rw-r--r--
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📁 photo	-	10/28/2024 06:50:41 AM	rwxr-xr-x
📄 photo.hpp	37.58 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 plot.hpp	4.55 KB	05/12/2017 03:45:27 AM	rw-r--r--
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📁 saliency	-	10/28/2024 06:50:42 AM	rwxr-xr-x
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📁 stereo	-	10/28/2024 06:50:42 AM	rwxr-xr-x
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📁 stitching	-	10/28/2024 06:50:41 AM	rwxr-xr-x
📄 stitching.hpp	12.82 KB	05/12/2017 03:45:27 AM	rw-r--r--
📁 structured_light	-	10/28/2024 06:50:42 AM	rwxr-xr-x
📄 structured_light.hpp	3.44 KB	05/12/2017 03:45:27 AM	rw-r--r--
📁 superres	-	10/28/2024 06:50:41 AM	rwxr-xr-x
📄 superres.hpp	8.07 KB	05/12/2017 03:45:27 AM	rw-r--r--
📁 surface_matching	-	10/28/2024 06:50:42 AM	rwxr-xr-x
📄 surface_matching.hpp	22.07 KB	05/12/2017 03:45:27 AM	rw-r--r--
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📁 video	-	10/28/2024 06:50:41 AM	rwxr-xr-x
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📁 videoio	-	10/28/2024 06:50:35 AM	rwxr-xr-x
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📁 videostab	-	10/28/2024 06:50:41 AM	rwxr-xr-x
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📁 viz	-	10/28/2024 06:50:41 AM	rwxr-xr-x
📄 viz.hpp	3.24 KB	05/12/2017 03:45:27 AM	rw-r--r--
📁 ximgproc	-	10/28/2024 06:50:42 AM	rwxr-xr-x
📄 ximgproc.hpp	5.24 KB	05/12/2017 03:45:27 AM	rw-r--r--
📄 xobjdetect.hpp	3.39 KB	05/12/2017 03:45:27 AM	rw-r--r--
📁 xphoto	-	10/28/2024 06:50:42 AM	rwxr-xr-x
📄 xphoto.hpp	2.39 KB	05/12/2017 03:45:27 AM	rw-r--r--

Editing: ximgproc.hpp

/*
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 *  are permitted provided that the following conditions are met :
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 *  this list of conditions and the following disclaimer.
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 *  this list of conditions and the following disclaimer in the documentation
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 *  the use of this software, even if advised of the possibility of such damage.
 */

#ifndef __OPENCV_XIMGPROC_HPP__
#define __OPENCV_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/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"

/** @defgroup ximgproc Extended Image Processing
  @{
    @defgroup ximgproc_edge Structured forests for fast edge detection

This module contains implementations of modern structured edge detection algorithms,
i.e. algorithms which somehow takes into account pixel affinities in natural images.

@defgroup ximgproc_filters Filters

@defgroup ximgproc_superpixel Superpixels

@defgroup ximgproc_segmentation Image segmentation

@defgroup ximgproc_fast_line_detector Fast line detector
  @}
*/

namespace cv
{
namespace ximgproc
{

enum ThinningTypes{
    THINNING_ZHANGSUEN    = 0, // Thinning technique of Zhang-Suen
    THINNING_GUOHALL      = 1  // Thinning technique of Guo-Hall
};

//! @addtogroup ximgproc
//! @{

/** @brief Applies Niblack thresholding to input image.

The function transforms a grayscale image to a binary image according to the formulae:
-   **THRESH_BINARY**
    \f[dst(x,y) =  \fork{\texttt{maxValue}}{if $src(x,y) > T(x,y)$}{0}{otherwise}\f]
-   **THRESH_BINARY_INV**
    \f[dst(x,y) =  \fork{0}{if $src(x,y) > T(x,y)$}{\texttt{maxValue}}{otherwise}\f]
where \f$T(x,y)\f$ is a threshold calculated individually for each pixel.

The threshold value \f$T(x, y)\f$ is the mean minus \f$ delta \f$ times standard deviation
of \f$\texttt{blockSize} \times\texttt{blockSize}\f$ neighborhood of \f$(x, y)\f$.

The function can't process the image in-place.

@param _src Source 8-bit single-channel image.
@param _dst Destination image of the same size and the same type as src.
@param maxValue Non-zero value assigned to the pixels for which the condition is satisfied,
used with the THRESH_BINARY and THRESH_BINARY_INV thresholding types.
@param type Thresholding type, see cv::ThresholdTypes.
@param blockSize Size of a pixel neighborhood that is used to calculate a threshold value
for the pixel: 3, 5, 7, and so on.
@param delta Constant multiplied with the standard deviation and subtracted from the mean.
Normally, it is taken to be a real number between 0 and 1.

@sa  threshold, adaptiveThreshold
 */
CV_EXPORTS_W void niBlackThreshold( InputArray _src, OutputArray _dst,
                                    double maxValue, int type,
                                    int blockSize, double delta );

/** @brief Applies a binary blob thinning operation, to achieve a skeletization of the input image.

The function transforms a binary blob image into a skeletized form using the technique of Zhang-Suen.

@param src Source 8-bit single-channel image, containing binary blobs, with blobs having 255 pixel values.
@param dst Destination image of the same size and the same type as src. The function can work in-place.
@param thinningType Value that defines which thinning algorithm should be used. See cv::ThinningTypes
 */
CV_EXPORTS_W void thinning( InputArray src, OutputArray dst, int thinningType = THINNING_ZHANGSUEN);

//! @}

}
}

#endif // __OPENCV_XIMGPROC_HPP__