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/*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) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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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 "opencv2/photo.hpp" |
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#include "opencv2/imgproc.hpp" |
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namespace cv |
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{ |
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static void downsample(Mat& src, Mat& dst) |
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{ |
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dst = Mat(src.rows / 2, src.cols / 2, CV_8UC1); |
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int offset = src.cols * 2; |
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uchar *src_ptr = src.ptr(); |
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uchar *dst_ptr = dst.ptr(); |
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for(int y = 0; y < dst.rows; y ++) { |
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uchar *ptr = src_ptr; |
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for(int x = 0; x < dst.cols; x++) { |
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dst_ptr[0] = ptr[0]; |
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dst_ptr++; |
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ptr += 2; |
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} |
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src_ptr += offset; |
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} |
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} |
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static void buildPyr(Mat& img, std::vector<Mat>& pyr, int maxlevel)
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{ |
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pyr.resize(maxlevel + 1); |
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pyr[0] = img.clone(); |
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for(int level = 0; level < maxlevel; level++) { |
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downsample(pyr[level], pyr[level + 1]); |
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} |
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} |
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static int getMedian(Mat& img) |
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{ |
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int channels = 0; |
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Mat hist;
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int hist_size = 256; |
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float range[] = {0, 256} ; |
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const float* ranges[] = {range}; |
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calcHist(&img, 1, &channels, Mat(), hist, 1, &hist_size, ranges); |
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float *ptr = hist.ptr<float>(); |
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int median = 0, sum = 0; |
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int thresh = img.total() / 2; |
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while(sum < thresh && median < 256) { |
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sum += (int)ptr[median]; |
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median++; |
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} |
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return median; |
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} |
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static void computeBitmaps(Mat& img, Mat& tb, Mat& eb, int exclude_range) |
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{ |
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int median = getMedian(img); |
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compare(img, median, tb, CMP_GT); |
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compare(abs(img - median), exclude_range, eb, CMP_GT); |
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} |
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void shiftMat(InputArray _src, Point shift, OutputArray _dst)
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{ |
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Mat src = _src.getMat(); |
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if(src.depth() != CV_8U) { |
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CV_Error(Error::StsBadArg, "Image must have CV_8U depth."); |
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} |
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_dst.create(src.size(), src.type()); |
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Mat dst = _dst.getMat(); |
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dst = Mat::zeros(src.size(), src.type()); |
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int width = src.cols - abs(shift.x); |
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int height = src.rows - abs(shift.y); |
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Rect dst_rect(max(shift.x, 0), max(shift.y, 0), width, height); |
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Rect src_rect(max(-shift.x, 0), max(-shift.y, 0), width, height); |
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src(src_rect).copyTo(dst(dst_rect)); |
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} |
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Point getExpShift(InputArray _img0, InputArray _img1, int max_bits, int exclude_range) |
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{ |
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Mat img0 = _img0.getMat(); |
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Mat img1 = _img1.getMat(); |
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if(img0.type() != CV_8UC1 || img1.type() != CV_8UC1) { |
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CV_Error(Error::StsBadArg, "Images must have CV_8UC1 type."); |
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} |
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if(img0.size() != img0.size()) { |
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CV_Error(Error::StsBadArg, "Image dimensions must be equal."); |
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} |
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int maxlevel = (int)(log((double)max(img0.rows, img0.cols)) / log(2.0)) - 1; |
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maxlevel = min(maxlevel, max_bits - 1); |
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std::vector<Mat> pyr0; |
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std::vector<Mat> pyr1; |
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buildPyr(img0, pyr0, maxlevel); |
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buildPyr(img1, pyr1, maxlevel);
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Point shift(0, 0); |
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for(int level = maxlevel; level >= 0; level--) { |
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shift *= 2; |
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Mat tb1, tb2, eb1, eb2; |
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computeBitmaps(pyr0[level], tb1, eb1, exclude_range); |
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computeBitmaps(pyr1[level], tb2, eb2, exclude_range); |
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int min_err = pyr0[level].total(); |
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Point new_shift(shift); |
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for(int i = -1; i <= 1; i++) { |
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for(int j = -1; j <= 1; j++) { |
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Point test_shift = shift + Point(i, j); |
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Mat shifted_tb2, shifted_eb2, diff; |
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shiftMat(tb2, test_shift, shifted_tb2); |
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shiftMat(eb2, test_shift, shifted_eb2); |
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bitwise_xor(tb1, shifted_tb2, diff); |
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bitwise_and(diff, eb1, diff); |
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bitwise_and(diff, shifted_eb2, diff); |
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int err = countNonZero(diff); |
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if(err < min_err) { |
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new_shift = test_shift; |
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min_err = err; |
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}
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} |
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} |
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shift = new_shift; |
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} |
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return shift; |
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} |
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}; |
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