include "opencv2/imgproc/imgproc.hpp"

include "opencv2/highgui/highgui.hpp"

include <stdlib.h>

include <stdio.h>

include <opencv2\opencv.hpp>

include <opencv2 highgui="" highgui.hpp="">

include <opencv2 core="" core.hpp="">

include <stdint.h>

include <opencv2 imgproc="" imgproc.hpp="">

include <iostream>

using namespace cv; using namespace std; using namespace cv; using namespace std; Mat src, src_gray,canny_image,padded,good_f_t, threshold_image,lowerRect,imageROI,dst, detected_edges; int edgeThresh = 1; int lowThreshold; int const max_lowThreshold = 100; int ratio = 3; int kernel_size = 3; char* window_name = "Edge Map"; void CannyThreshold(int, void) { blur( src_gray, detected_edges, Size(3,3) ); Canny( detected_edges, detected_edges, lowThreshold, lowThresholdratio, kernel_size ); dst = Scalar::all(0); src.copyTo( dst, detected_edges); imshow( window_name, dst ); Mat padded;
int m = getOptimalDFTSize( dst.rows ); int n = getOptimalDFTSize( dst.cols ); copyMakeBorder(dst, padded, 0, m - dst.rows, 0, n - dst.cols, BORDER_CONSTANT, Scalar::all(0));

Mat planes[] = {Mat_<float>(padded), Mat::zeros(padded.size(), CV_32F)};      
Mat complexdst;
merge(planes, 2, complexdst);

dft(complexdst, complexdst);
split(complexdst, planes);
magnitude(planes[0], planes[1], planes[0]); Mat magdst = planes[0]; magdst += Scalar::all(1);
log(magdst, magdst); magdst = magdst(Rect(0, 0, magdst.cols & -2, magdst.rows & -2)); int cx = magdst.cols/2; int cy = magdst.rows/2; Mat q0(magdst, Rect(0, 0, cx, cy));
Mat q1(magdst, Rect(cx, 0, cx, cy));
Mat q2(magdst, Rect(0, cy, cx, cy));
Mat q3(magdst, Rect(cx, cy, cx, cy)); Mat tmp;
q0.copyTo(tmp); q3.copyTo(q0); tmp.copyTo(q3); q1.copyTo(tmp);
q2.copyTo(q1); tmp.copyTo(q2); normalize(magdst, magdst, 0, 1, CV_MINMAX); imshow("spectrum magnitude", magdst);

} int main( int argc, char** argv ) {

src = imread("C:/Users/Saha/Desktop/DSCF0563.JPG"); resize(src, src, Size(), 0.2, 0.2, INTER_LANCZOS4); if( !src.data ) { return -1; } dst.create( src.size(), src.type() ); cvtColor( src, src_gray, CV_BGR2GRAY ); namedWindow( window_name, CV_WINDOW_AUTOSIZE ); createTrackbar( "Min Threshold:", window_name, &lowThreshold, max_lowThreshold, CannyThreshold ); CannyThreshold(0, 0); waitKey(0); return 0; }

#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include <stdlib.h>
#include <stdio.h>
#include <opencv2\opencv.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/core/core.hpp>
#include <stdint.h>
#include <opencv2/imgproc/imgproc.hpp>
#include <iostream>

using namespace cv;
using namespace std;
/// Global variables
Mat src, src_gray,canny_image,padded,good_f_t, threshold_image,lowerRect,imageROI,dst, detected_edges;
int edgeThresh = 1;
int lowThreshold;
int const max_lowThreshold = 100;
int ratio = 3;
int kernel_size = 3;
char* window_name = "Edge Map";
void CannyThreshold(int, void*)
{
  blur( src_gray, detected_edges, Size(3,3) );
    Canny( detected_edges, detected_edges, lowThreshold, lowThreshold*ratio, kernel_size );
    dst = Scalar::all(0);
    src.copyTo( dst, detected_edges);
    imshow( window_name, dst );
   Mat padded;                           
    int m = getOptimalDFTSize( dst.rows );
    int n = getOptimalDFTSize( dst.cols ); 
    copyMakeBorder(dst, padded, 0, m - dst.rows, 0, n - dst.cols, BORDER_CONSTANT, Scalar::all(0));
    Mat planes[] = {Mat_<float>(padded), Mat::zeros(padded.size(), CV_32F)};      
    Mat complexdst;
    merge(planes, 2, complexdst);        
    dft(complexdst, complexdst);            

    split(complexdst, planes);                   
    magnitude(planes[0], planes[1], planes[0]);
    Mat magdst = planes[0];
    magdst += Scalar::all(1);                    
    log(magdst, magdst);
    magdst = magdst(Rect(0, 0, magdst.cols & -2, magdst.rows & -2));
    int cx = magdst.cols/2;
    int cy = magdst.rows/2;
    Mat q0(magdst, Rect(0, 0, cx, cy));   
    Mat q1(magdst, Rect(cx, 0, cx, cy));  
    Mat q2(magdst, Rect(0, cy, cx, cy));  
    Mat q3(magdst, Rect(cx, cy, cx, cy));
     Mat tmp;                           
    q0.copyTo(tmp);
    q3.copyTo(q0);
    tmp.copyTo(q3);

    q1.copyTo(tmp);                    
    q2.copyTo(q1);
    tmp.copyTo(q2);

    normalize(magdst, magdst, 0, 1, CV_MINMAX); 
    imshow("spectrum magnitude", magdst);
    }


int main( int argc, char** argv )
{
    src = imread("C:/Users/Saha/Desktop/DSCF0563.JPG");
    resize(src, src, Size(), 0.2, 0.2, INTER_LANCZOS4);

  if( !src.data )
  { return -1; }

 dst.create( src.size(), src.type() );

 cvtColor( src, src_gray, CV_BGR2GRAY );

 namedWindow( window_name, CV_WINDOW_AUTOSIZE );

   createTrackbar( "Min Threshold:", window_name, &lowThreshold, max_lowThreshold, CannyThreshold );

    CannyThreshold(0, 0);

    waitKey(0);

  return 0;
  }