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/*
* By downloading, copying, installing or using the software you agree to this license.
* If you do not agree to this license, do not download, install,
* copy or use the software.
*
*
* License Agreement
* For Open Source Computer Vision Library
* (3 - clause BSD License)
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted provided that the following conditions are met :
*
* * Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and / or other materials provided with the distribution.
*
* * Neither the names of the copyright holders nor the names of the contributors
* may be used to endorse or promote products derived from this software
* without specific prior written permission.
*
* This software is provided by the copyright holders and contributors "as is" and
* any express or implied warranties, including, but not limited to, the implied
* warranties of merchantability and fitness for a particular purpose are disclaimed.
* In no event shall copyright holders or contributors be liable for any direct,
* indirect, incidental, special, exemplary, or consequential damages
* (including, but not limited to, procurement of substitute goods or services;
* loss of use, data, or profits; or business interruption) however caused
* and on any theory of liability, whether in contract, strict liability,
* or tort(including negligence or otherwise) arising in any way out of
* 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::ximgproc::ThinningTypes
*/
CV_EXPORTS_W void thinning( InputArray src, OutputArray dst, int thinningType = THINNING_ZHANGSUEN);
//! @}
}
}
#endif // __OPENCV_XIMGPROC_HPP__
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