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100 lines
3.9 KiB
100 lines
3.9 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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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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// |
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// Copyright (C) 2014, Beat Kueng (beat-kueng@gmx.net), Lukas Vogel, Morten Lysgaard |
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// Third party copyrights are property of their respective owners. |
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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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// * Redistribution's 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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// * Redistribution's 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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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software 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 the Intel Corporation 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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//M*/ |
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#include "precomp.hpp" |
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#include <cmath> |
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namespace cv { |
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namespace ximgproc { |
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void niBlackThreshold( InputArray _src, OutputArray _dst, double maxValue, |
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int type, int blockSize, double delta ) |
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{ |
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Mat src = _src.getMat(); |
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CV_Assert( src.type() == CV_8UC1 ); |
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CV_Assert( blockSize % 2 == 1 && blockSize > 1 ); |
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Size size = src.size(); |
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_dst.create( size, src.type() ); |
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Mat dst = _dst.getMat(); |
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if( maxValue < 0 ) |
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{ |
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dst = Scalar(0); |
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return; |
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} |
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// Calculate and store the mean and mean of squares in the neighborhood |
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// of each pixel and store them in Mat mean and sqmean. |
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Mat_<float> mean(size), sqmean(size); |
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if( src.data != dst.data ) |
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mean = dst; |
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boxFilter( src, mean, CV_32F, Size(blockSize, blockSize), |
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Point(-1,-1), true, BORDER_REPLICATE ); |
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sqrBoxFilter( src, sqmean, CV_32F, Size(blockSize, blockSize), |
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Point(-1,-1), true, BORDER_REPLICATE ); |
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// Compute (k * standard deviation) in the neighborhood of each pixel |
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// and store in Mat stddev. Also threshold the values in the src matrix to compute dst matrix. |
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Mat_<float> stddev(size); |
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int i, j, threshold; |
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uchar imaxval = saturate_cast<uchar>(maxValue); |
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for(i = 0; i < size.height; ++i) |
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{ |
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for(j = 0; j < size.width; ++j) |
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{ |
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stddev.at<float>(i, j) = saturate_cast<float>(delta) * cvRound( sqrt(sqmean.at<float>(i, j) - |
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mean.at<float>(i, j)*mean.at<float>(i, j)) ); |
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threshold = cvRound(mean.at<float>(i, j) + stddev.at<float>(i, j)); |
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if(src.at<uchar>(i, j) > threshold) |
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dst.at<uchar>(i, j) = (type == THRESH_BINARY) ? imaxval : 0; |
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else |
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dst.at<uchar>(i, j) = (type == THRESH_BINARY) ? 0 : imaxval; |
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} |
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} |
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} |
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} // namespace ximgproc |
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} //namespace cv
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