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42640a33af
Paillou Filter comment : english tab and assert Mat(instead of new) InputArray and ptr<Type>() Outputarrays OutputArray as argument Update doc
113 lines
4.3 KiB
C++
113 lines
4.3 KiB
C++
/*
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* By downloading, copying, installing or using the software you agree to this license.
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* If you do not agree to this license, do not download, install,
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* copy or use the software.
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*
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*
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* License Agreement
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* For Open Source Computer Vision Library
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* (3 - clause BSD License)
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*
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* Redistribution and use in source and binary forms, with or without modification,
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* are permitted provided that the following conditions are met :
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*
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* *Redistributions of source code must retain the above copyright notice,
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* this list of conditions and the following disclaimer.
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*
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* * Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and / or other materials provided with the distribution.
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*
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* * Neither the names of the copyright holders nor the names of the contributors
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* may be used to endorse or promote products derived from this software
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* without specific prior written permission.
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*
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* This software is provided by the copyright holders and contributors "as is" and
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* any express or implied warranties, including, but not limited to, the implied
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* warranties of merchantability and fitness for a particular purpose are disclaimed.
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* In no event shall copyright holders or contributors be liable for any direct,
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* indirect, incidental, special, exemplary, or consequential damages
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* (including, but not limited to, procurement of substitute goods or services;
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* loss of use, data, or profits; or business interruption) however caused
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* and on any theory of liability, whether in contract, strict liability,
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* or tort(including negligence or otherwise) arising in any way out of
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* the use of this software, even if advised of the possibility of such damage.
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*/
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#ifndef __OPENCV_XIMGPROC_HPP__
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#define __OPENCV_XIMGPROC_HPP__
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#include "ximgproc/edge_filter.hpp"
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#include "ximgproc/disparity_filter.hpp"
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#include "ximgproc/sparse_match_interpolator.hpp"
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#include "ximgproc/structured_edge_detection.hpp"
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#include "ximgproc/seeds.hpp"
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#include "ximgproc/segmentation.hpp"
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#include "ximgproc/fast_hough_transform.hpp"
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#include "ximgproc/estimated_covariance.hpp"
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#include "ximgproc/weighted_median_filter.hpp"
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#include "ximgproc/slic.hpp"
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#include "ximgproc/lsc.hpp"
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#include "ximgproc/paillou_filter.hpp"
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/** @defgroup ximgproc Extended Image Processing
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@{
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@defgroup ximgproc_edge Structured forests for fast edge detection
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This module contains implementations of modern structured edge detection algorithms,
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i.e. algorithms which somehow takes into account pixel affinities in natural images.
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@defgroup ximgproc_filters Filters
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@defgroup ximgproc_superpixel Superpixels
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@defgroup ximgproc_segmentation Image segmentation
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@}
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*/
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namespace cv
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{
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namespace ximgproc
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{
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//! @addtogroup ximgproc
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//! @{
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/** @brief Applies Niblack thresholding to input image.
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The function transforms a grayscale image to a binary image according to the formulae:
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- **THRESH_BINARY**
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\f[dst(x,y) = \fork{\texttt{maxValue}}{if \(src(x,y) > T(x,y)\)}{0}{otherwise}\f]
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- **THRESH_BINARY_INV**
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\f[dst(x,y) = \fork{0}{if \(src(x,y) > T(x,y)\)}{\texttt{maxValue}}{otherwise}\f]
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where \f$T(x,y)\f$ is a threshold calculated individually for each pixel.
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The threshold value \f$T(x, y)\f$ is the mean minus \f$ delta \f$ times standard deviation
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of \f$\texttt{blockSize} \times\texttt{blockSize}\f$ neighborhood of \f$(x, y)\f$.
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The function can't process the image in-place.
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@param _src Source 8-bit single-channel image.
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@param _dst Destination image of the same size and the same type as src.
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@param maxValue Non-zero value assigned to the pixels for which the condition is satisfied,
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used with the THRESH_BINARY and THRESH_BINARY_INV thresholding types.
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@param type Thresholding type, see cv::ThresholdTypes.
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@param blockSize Size of a pixel neighborhood that is used to calculate a threshold value
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for the pixel: 3, 5, 7, and so on.
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@param delta Constant multiplied with the standard deviation and subtracted from the mean.
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Normally, it is taken to be a real number between 0 and 1.
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@sa threshold, adaptiveThreshold
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*/
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CV_EXPORTS_W void niBlackThreshold( InputArray _src, OutputArray _dst,
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double maxValue, int type,
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int blockSize, double delta );
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//! @}
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}
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}
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#endif // __OPENCV_XIMGPROC_HPP__
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