visual studio - I am using Open cv for creating RGB to HSI then doing a histogram. Then Fourier transform and back to HSI to RGB -
i can not debug programme. going convert rgb hsi , put histogram in channel. before fourier , after fourier.
#include "stdafx.h" #include <opencv2/opencv.hpp> #include <opencv\highgui.h> #include <iostream> // ass.cpp : converts given rgb image hsi colour space // performs fourier filtering on particular channel. // using namespace std; using namespace cv; // declarations of 4 unfinished functions mat rgb2hsi(const mat& rgb); // converts rgb image hsi space mat hsi2rgb(const mat& hsi); // converts hsi image rgb space mat histogram(const mat& im); // returns histogram of selected channel in hsi space // void filter(mat& im);// // performs frequency-domain filtering on single-channel image int main(int argc, char* argv[]) { if (argc < 2) // check number of arguments { cerr << "feed me something!!" << endl; // no arguments passed return -1; } string path = argv[1]; mat im; // load rgb image mat hsi = rgb2hsi(im); // convert hsi space mat slices[3]; // 3 channels of converted hsi image im = imread(path); //try load path if (im.empty()) // loaded sucessfully { cerr << "i cannot load file : "; return -1; } imshow("before", im); split(hsi, slices); // split packed hsi image array of matrices mat& h = slices[0]; mat& s = slices[1]; mat& = slices[2]; // references h, s, , layers mat hist1, hist2; // histogram of selected channel before , after filtering going apply histogram. may miss header. draw not taken.
mat histogram(const mat& im) { mat hist; const float range[] = { 0, 255 }; const int channels[] = { 0 }; const int bins = range[1] - range[0]; const int dims[] = { bins, 1 }; const size binsize(2, 240); const float* ranges[] = { range }; // calculate histogram calchist(&im, 1, channels, mat(), hist, 1, dims, ranges); mat draw = mat::zeros(binsize.height, binsize.width * bins, cv_8uc3); double maxval; minmaxloc(hist, null, &maxval, 0, 0); (int b = 0; b < bins; b++) { float val = hist.at<float>(b, 0); int x0 = binsize.width * b; int y0 = draw.rows - val / maxval * binsize.height + 1; int x1 = binsize.width * (b + 1) - 1; int y1 = draw.rows - 1; rectangle(draw,0, cv::(point(x0, y0), cv::point(x1, y1)), scalar::all(255), cv_filled); } return draw; } imwrite("input-original.png", rgb); // write input image imwrite("hist-original.png", histogram(h)); // write histogram of selected channel filter(h); // perform filtering merge(slices, 3, hsi); // combine separated h, s, , layers big packed matrix rgb = hsi2rgb(hsi); // convert hsi rgb colour space imwrite("input-filtered.png", rgb); // write filtered image imwrite("hist-filtered.png", histogram(h)); // , histogram of filtered channel return 0; } mat rgb2hsi(const mat& rgb) { mat slicesrgb[3]; mat sliceshsi[3]; mat &r = slicesrgb[0], &g = slicesrgb[1], &b = slicesrgb[2]; mat &h = sliceshsi[0], &s = sliceshsi[1], &i = sliceshsi[2]; split(rgb, slicesrgb); // // todo: implement colour conversion rgb => hsi // // begin of conversion code h = r * 1.0f; s = g * 1.0f; = b * 1.0f; // end of conversion code mat hsi; merge(sliceshsi, 3, hsi); return hsi; } mat hsi2rgb(const mat& hsi) { mat slicesrgb[3]; mat sliceshsi[3]; mat &r = slicesrgb[0], &g = slicesrgb[1], &b = slicesrgb[2]; mat &h = sliceshsi[0], &s = sliceshsi[1], &i = sliceshsi[2]; split(hsi, sliceshsi); // begin of conversion code r = h * 1.0f; g = s * 1.0f; b = * 1.0f; // end of conversion code mat rgb; merge(slicesrgb, 3, rgb); return rgb; } mat histogram(const mat& im) { mat hist; const float range[] = { 0, 255 }; const int channels[] = { 0 }; const int bins = range[1] - range[0]; const int dims[] = { bins, 1 }; const size binsize(2, 240); const float* ranges[] = { range }; // calculate histogram calchist(&im, 1, channels, mat(), hist, 1, dims, ranges); mat draw = mat::zeros(binsize.height, binsize.width * bins, cv_8uc3); double maxval; minmaxloc(hist, null, &maxval, 0, 0); (int b = 0; b < bins; b++) { float val = hist.at<float>(b, 0); int x0 = binsize.width * b; int y0 = draw.rows - val / maxval * binsize.height + 1; int x1 = binsize.width * (b + 1) - 1; int y1 = draw.rows - 1; rectangle(draw, point(x0, y0), point(x1, y1), scalar::all(255), cv_filled); } return draw; } void filter(mat& im) { int type = im.type(); // convert pixel data unsigned 8-bit integers (0~255) // 32-bit floating numbers, required cv::dft if (type != cv_32f) im.convertto(im, cv_32f); // perform 2-d discrete fourier transform mat f; dft(im, f, dft_complex_output + dft_scale); // dft // separate packed complex matrix 2 matrices mat complex[2]; mat& real = complex[0]; // real part mat& imag = complex[1]; // imaginary part split(f, complex); // dft(im) => {real,imag} // frequency domain filtering int xc = im.cols / 2; // find (xc,yc) highest int yc = im.rows / 2; // frequency component (int y = 0; y < im.rows; y++) // go through each row.. { (int x = 0; x < im.cols; x++) // through each column.. { // // todo: design formula here decide if component // discarded or kept. // if (false) // override condition { real.at<float>(y, x) = 0; imag.at<float>(y, x) = 0; } } } // pack real , imaginary parts // 2-channel matrix merge(complex, 2, f); // {real,imag} => f // perform 2-d inverse discrete fourier transform idft(f, im, dft_real_output); // idft // convert im it's original type im.convertto(im, type); } error list
1 intellisense: expected ';' d:\709 tutorial\dibya_project\dibya_project\dibya_project.cpp 48 2 dibya_project 2 intellisense: identifier "draw" undefined d:\709 tutorial\dibya_project\dibya_project\dibya_project.cpp 70 13 dibya_project 3 intellisense: no instance of overloaded function "rectangle" matches argument list argument types are: (, int, , cv::scalar_, int) d:\709 tutorial\dibya_project\dibya_project\dibya_project.cpp 72 4 dibya_project 4 intellisense: expected identifier d:\709 tutorial\dibya_project\dibya_project\dibya_project.cpp 72 26 dibya_project 5 intellisense: no instance of constructor "cv::point_<tp>::point [with _tp=int]" matches argument list argument types are: (, double __cdecl (double _x)) d:\709 tutorial\dibya_project\dibya_project\dibya_project.cpp 72 27 dibya_project
broken here (in mat histogram(...)):
rectangle(draw,0, cv::(point(x0, y0), cv::point(x1, y1)), scalar::all(255), cv_filled); should either:
rectangle(draw,0, cv::rect(point(x0, y0), cv::point(x1, y1)), scalar::all(255), cv_filled); or:
rectangle(draw,0, point(x0, y0), cv::point(x1, y1), scalar::all(255), cv_filled); 
Comments
Post a Comment