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| #include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/features2d/features2d.hpp"
using namespace cv;
using namespace std;
void gDer(cv::Mat src, cv::Mat dst, int sigma, int iorder, int jorder)
{
int kernelSize = floor(3*sigma + 0.5);
cv::Mat Gauss;
cv::Mat dGauss;
cv::Mat Gauss_x;
cv::Mat Gauss_y;
cv::Mat S1;
for( int x = -kernelSize;x<=kernelSize;++x )
{
float coef= (-x*x)/(2 * sigma * sigma);
Gauss = 1/(sigma*(sqrt(2 * CV_PI)) * sigma)* exp(coef);
dGauss = (-x/sigma^2) / (1/(sigma*(sqrt(2 * CV_PI)) * sigma)* exp(coef));
S1= x*dGauss;
}
switch( iorder )
{
case 0:
divide(Gauss,cv::sum(Gauss),Gauss_x );
break;
case 1:
divide(dGauss,sum(sum(S1)),Gauss_x );
break;
} // end of switch
switch( jorder )
{
case 0:
divide(Gauss,cv::sum(Gauss),Gauss_y );
break;
case 1:
divide(dGauss,sum(sum(S1)),Gauss_y );
break;
} // end of switch
cv::transpose(Gauss_y, Gauss_y);
dst = src.clone();
cv::sepFilter2D (src, dst, -1, Gauss_x, Gauss_y, cv::Point (-1, -1), 0);
}
int main( int argc, char** argv )
{
if( argc != 2 ) {
std::cerr << "Usage: " << argv[0] << " <InputImage>" << std::endl;
return EXIT_FAILURE;
}
cv::Mat image = cv::imread( argv[1], 1);
if(!image.data) {
return EXIT_FAILURE;
}
cv::vector<cv::Mat> color (3);
cv::split (image, color);
cv::Mat Rx=color[2].clone();
gDer(color[2],Rx,1, 0, 1);
cv::imshow( "Display Image", image );
cv::imshow ("Rx.png", Rx);
cv::waitKey(0);
return EXIT_SUCCESS;
} |
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