Source.cpp

#include<opencv.hpp>
//#include<aruco.hpp>
//#include "aruco/dictionary.hpp"
#include<stdio.h>
#include<iostream>
#include<fstream>
#include<calib3d.hpp>

using namespace cv;
using namespace std;

static void help(void)
{
    cout << endl
        << "This program demonstrated the use of the discrete Fourier transform (DFT). " << endl
        << "The dft of an image is taken and it's power spectrum is displayed." << endl
        << "Usage:" << endl
        << "./discrete_fourier_transform [image_name -- default ../data/lena.jpg]" << endl;
}
int main2(int argc, char** argv)
{
    help();
    const char* filename = argc >= 2 ? argv[1] : "../data/lena.jpg";
    Mat I = imread("nar2.jpg", IMREAD_GRAYSCALE);
    if (I.empty()) {
        cout << "Error opening image" << endl;
        return -1;
    }
    Mat padded;                            //expand input image to optimal size
    int m = getOptimalDFTSize(I.rows);
    int n = getOptimalDFTSize(I.cols); // on the border add zero values
    copyMakeBorder(I, padded, 0, m - I.rows, 0, n - I.cols, BORDER_CONSTANT, Scalar::all(0));
    Mat planes[] = { Mat_<float>(padded), Mat::zeros(padded.size(), CV_32F) };
    Mat complexI;
    merge(planes, 2, complexI);         // Add to the expanded another plane with zeros
    dft(complexI, complexI);            // this way the result may fit in the source matrix
    // compute the magnitude and switch to logarithmic scale
    // => log(1 + sqrt(Re(DFT(I))^2 + Im(DFT(I))^2))
    split(complexI, planes);                   // planes[0] = Re(DFT(I), planes[1] = Im(DFT(I))
    magnitude(planes[0], planes[1], planes[0]);// planes[0] = magnitude
    Mat magI = planes[0];
    magI += Scalar::all(1);                    // switch to logarithmic scale
    log(magI, magI);
    // crop the spectrum, if it has an odd number of rows or columns
    magI = magI(Rect(0, 0, magI.cols & -2, magI.rows & -2));
    // rearrange the quadrants of Fourier image  so that the origin is at the image center
    int cx = magI.cols / 2;
    int cy = magI.rows / 2;
    Mat q0(magI, Rect(0, 0, cx, cy));   // Top-Left - Create a ROI per quadrant
    Mat q1(magI, Rect(cx, 0, cx, cy));  // Top-Right
    Mat q2(magI, Rect(0, cy, cx, cy));  // Bottom-Left
    Mat q3(magI, Rect(cx, cy, cx, cy)); // Bottom-Right
    Mat tmp;                           // swap quadrants (Top-Left with Bottom-Right)
    q0.copyTo(tmp);
    q3.copyTo(q0);
    tmp.copyTo(q3);
    q1.copyTo(tmp);                    // swap quadrant (Top-Right with Bottom-Left)
    q2.copyTo(q1);
    tmp.copyTo(q2);
    normalize(magI, magI, 0, 1, NORM_MINMAX); // Transform the matrix with float values into a
                                            // viewable image form (float between values 0 and 1).
    imshow("Input Image", I);    // Show the result
    imshow("spectrum magnitude", magI);
    waitKey();
    return 0;
}