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