113 lines
3.6 KiB
C++
113 lines
3.6 KiB
C++
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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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* (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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#include <opencv2/core.hpp>
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#include <opencv2/core/utility.hpp>
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#include <opencv2/highgui.hpp>
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#include <opencv2/ximgproc.hpp>
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#include "opencv2/ximgproc/paillou_filter.hpp"
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using namespace cv;
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using namespace cv::ximgproc;
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#include <iostream>
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using namespace std;
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int aa = 100, ww = 10;
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const char* window_name = "Gradient Modulus";
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static void DisplayImage(Mat x,string s)
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{
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vector<Mat> sx;
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split(x, sx);
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vector<double> minVal(3), maxVal(3);
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for (int i = 0; i < static_cast<int>(sx.size()); i++)
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{
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minMaxLoc(sx[i], &minVal[i], &maxVal[i]);
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}
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maxVal[0] = *max_element(maxVal.begin(), maxVal.end());
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minVal[0] = *min_element(minVal.begin(), minVal.end());
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Mat uc;
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x.convertTo(uc, CV_8U,255/(maxVal[0]-minVal[0]),-255*minVal[0]/(maxVal[0]-minVal[0]));
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imshow(s, uc);
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}
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/**
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* @function paillouFilter
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* @brief Trackbar callback
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*/
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static void PaillouFilter(int, void*pm)
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{
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Mat img = *((Mat*)pm);
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Mat dst;
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double a=aa/100.0, w=ww/100.0;
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Mat rx,ry;
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GradientPaillouX(img, rx, a, w);
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GradientPaillouY(img, ry, a, w);
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DisplayImage(rx, "Gx");
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DisplayImage(ry, "Gy");
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add(rx.mul(rx), ry.mul(ry), dst);
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sqrt(dst, dst);
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DisplayImage(dst, window_name );
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}
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int main(int argc, char* argv[])
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{
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if (argc < 2)
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{
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cout << "usage: paillou_demo [image]" << endl;
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return 1;
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}
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Mat img = imread(argv[1]);
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if (img.empty())
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{
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cout << "File not found or empty image\n";
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return 1;
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}
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imshow("Original",img);
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namedWindow( window_name, WINDOW_AUTOSIZE );
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/// Create a Trackbar for user to enter threshold
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createTrackbar( "a:",window_name, &aa, 400, PaillouFilter, &img );
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createTrackbar( "w:", window_name, &ww, 400, PaillouFilter, &img );
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PaillouFilter(0, &img);
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waitKey();
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return 0;
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}
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