#include "ASIFT_matcher.hpp" int main(int argc, char **argv) { if ((argc <2) || (argc > 5)) { std::cerr << " ******************************************************************************* " << std::endl << " *************************** ASIFT image matching **************************** " << std::endl << " ******************************************************************************* " << std::endl << "Usage: " << argv[0] << " imgIn.png [Tilt number option] [Filter option] [Resize option] " << std::endl << "- imgIn.png: input image (in PNG format). " << std::endl << "- [Tilt number option: 1..(32+ ?)] : 7: Recommended / 1: no tilt. " << std::endl << "- [Filter option: 0..3]. Standard deviation filter coeff (1-68%/2-95%/3-99%). 0: no filtering (default). " << std::endl << "- [Resize option: 0/1]. 1: input images resize to 800x600 (default). 0: no resize. " << std::endl << " ******************************************************************************* " << std::endl << " ********************* Jean-Michel Morel, Guoshen Yu, 2010 ******************** " << std::endl << " ******************************************************************************* " << std::endl; return 1; } char* output_img = "./results/res.png"; char* output_match = "./results/matching.txt"; char* output_references = "./results/references.txt"; //////////////////////////////////////////////// Input // float * iarr1; // size_t w1, h1; // if (NULL == (iarr1 = read_png_f32_gray(argv[1], &w1, &h1))) { // std::cerr << "Unable to load image file " << argv[1] << std::endl; // return 1; // } // std::vector ipixels1(iarr1, iarr1 + w1 * h1); // free(iarr1); /*memcheck*/ cimg_library::CImg image; try { image =cimg_library::CImg(argv[1]); } catch(cimg_library::CImgIOException) { std::cerr << "Unable to load image file " << argv[1] << std::endl; return false; } //Convert to grayscale cimg_library::CImg gray(image.width(), image.height(), 1, 1, 0); cimg_forXY(image,x,y) { // Separation of channels int R = (int)image(x,y,0,0); int G = (int)image(x,y,0,1); int B = (int)image(x,y,0,2); // Arithmetic addition of channels for gray // int grayValue = (int)(0.33*R + 0.33*G + 0.33*B); // Real weighted addition of channels for gray int grayValueWeight = (int)(0.299*R + 0.587*G + 0.114*B); // saving pĂ­xel values into image information // gray(x,y,0,0) = grayValue; gray(x,y,0,0) = grayValueWeight; } vector ipixels1; int w1=gray.width(), h1=gray.height(); ipixels1.assign(gray.begin(), gray.end()); // cout<<"Image size : "< ipixels1_zoom; int flag_resize = 1; if (argc == 5) { flag_resize = atoi(argv[4]); } if (flag_resize != 0) { cout << "WARNING: The input images is resized to " << wS << "x" << hS << " for ASIFT. " << endl << " But the results will be normalized to the original image size." << endl << endl; float InitSigma_aa = 1.6; float fproj_p, fproj_bg; char fproj_i; float *fproj_x4, *fproj_y4; int fproj_o; fproj_o = 3; fproj_p = 0; fproj_i = 0; fproj_bg = 0; fproj_x4 = 0; fproj_y4 = 0; float areaS = wS * hS; // Resize image 1 float area1 = w1 * h1; zoom1 = sqrt(area1/areaS); wS1 = (int) (w1 / zoom1); hS1 = (int) (h1 / zoom1); int fproj_sx = wS1; int fproj_sy = hS1; float fproj_x1 = 0; float fproj_y1 = 0; float fproj_x2 = wS1; float fproj_y2 = 0; float fproj_x3 = 0; float fproj_y3 = hS1; /* Anti-aliasing filtering along vertical direction */ if ( zoom1 > 1 ) { float sigma_aa = InitSigma_aa * zoom1 / 2; GaussianBlur1D(ipixels1,w1,h1,sigma_aa,1); GaussianBlur1D(ipixels1,w1,h1,sigma_aa,0); } // simulate a tilt: subsample the image along the vertical axis by a factor of t. ipixels1_zoom.resize(wS1*hS1); fproj (ipixels1, ipixels1_zoom, w1, h1, &fproj_sx, &fproj_sy, &fproj_bg, &fproj_o, &fproj_p, &fproj_i , fproj_x1 , fproj_y1 , fproj_x2 , fproj_y2 , fproj_x3 , fproj_y3, fproj_x4, fproj_y4); } else { ipixels1_zoom.resize(w1*h1); ipixels1_zoom = ipixels1; wS1 = w1; hS1 = h1; zoom1 = 1; } // unsigned int nb_ref =2; // std::string refData[] = { // "book_training/train_image_000.png", // "book_training/train_image_001.png", // "book_training/train_image_002.png", // "book_training/train_image_003.png"}; unsigned int nb_ref =5; std::string refData[] = { "robobo_references/robobo_000.png", "robobo_references/robobo_001.png", "robobo_references/robobo_002.png", "robobo_references/robobo_003.png", "robobo_references/robobo_004.png"}; // unsigned int nb_ref =21; // std::string refData[] = { // "toy_training/obj1bg0__processed__0000_color.jpg", // "toy_training/obj1bg0__processed__0001_color.jpg", // "toy_training/obj1bg0__processed__0002_color.jpg", // "toy_training/obj1bg0__processed__0003_color.jpg", // "toy_training/obj1bg0__processed__0004_color.jpg", // "toy_training/obj1bg0__processed__0005_color.jpg", // "toy_training/obj1bg0__processed__0006_color.jpg", // "toy_training/obj1bg0__processed__0007_color.jpg", // "toy_training/obj1bg0__processed__0008_color.jpg", // "toy_training/obj1bg0__processed__0009_color.jpg", // "toy_training/obj1bg0__processed__0010_color.jpg", // "toy_training/obj1bg0__processed__0011_color.jpg", // "toy_training/obj1bg0__processed__0012_color.jpg", // "toy_training/obj1bg0__processed__0013_color.jpg", // "toy_training/obj1bg0__processed__0014_color.jpg", // "toy_training/obj1bg0__processed__0015_color.jpg", // "toy_training/obj1bg0__processed__0016_color.jpg", // "toy_training/obj1bg0__processed__0017_color.jpg", // "toy_training/obj1bg0__processed__0018_color.jpg", // "toy_training/obj1bg0__processed__0019_color.jpg", // "toy_training/obj1bg0__processed__0020_color.jpg"}; // unsigned int nb_ref =12; // std::string refData[] = { // "toy_training/obj11__processed__0036_color.jpg", // "toy_training/obj11__processed__0037_color.jpg", // "toy_training/obj11__processed__0038_color.jpg", // "toy_training/obj11__processed__0039_color.jpg", // "toy_training/obj11__processed__0040_color.jpg", // "toy_training/obj11__processed__0041_color.jpg", // "toy_training/obj11__processed__0042_color.jpg", // "toy_training/obj11__processed__0043_color.jpg", // "toy_training/obj11__processed__0044_color.jpg", // "toy_training/obj11__processed__0045_color.jpg", // "toy_training/obj11__processed__0046_color.jpg", // "toy_training/obj11__processed__0047_color.jpg"}; // unsigned int nb_ref =1; // std::string refData[] = { // "toy_training/000.png", // "toy_training/001.png", // "toy_training/002.png", // "toy_training/003.png",}; int tilt_ref = 7, tilt_input = 1; int nb_match; if(argc>2) { tilt_ref = atoi(argv[2]); tilt_input = atoi(argv[2]); } ASIFT_matcher matcher; matcher.setResizeImg(flag_resize); time_t tstart, tend; tstart = time(0); for(unsigned int i=0; i3 && atoi(argv[3])>0) matcher.distFilter(atoi(argv[3])); tend = time(0); vector NbMatch = matcher.getNbMatchs(); cout<<"Computation Time : "<first.x), (int) (zoom1*ptrH->first.y), point_size, point_size, 255, w1, h1); } } //////////////////////////////////////////////////////////////////// Draw ROI if(matcher.computeROI(x,y,h,w)) draw_square(opixelsASIFT, zoom1*x, zoom1*y, zoom1*w, zoom1*h, 255, w1, h1); //////////////////////////////////////////////////////////////////// Draw Center if(matcher.computeCenter(cx,cy)) { draw_square(opixelsASIFT, zoom1*(cx-6), zoom1*(cy-6), zoom1*12, zoom1*12, 160, w1, h1); draw_line(opixelsASIFT, zoom1*cx, zoom1*(cy-6), zoom1*cx, zoom1*(cy+6), 255, w1, h1); draw_line(opixelsASIFT, zoom1*(cx-6), zoom1*cy, zoom1*(cx+6), zoom1*cy, 255, w1, h1); } ///////////////////////////////////////////////////////////////// Save imgOut // write_png_f32(output_img, opixelsASIFT, w1, h1, 1); image.assign(opixelsASIFT,w1,h1); image.save(output_img); delete[] opixelsASIFT; /*memcheck*/ ////// Write the coordinates of the matched points (row1, col1, row2, col2) std::ofstream file(output_match); if (file.is_open()) { // Write the number of matchings and number of references in the first line file << nb_match <<" "<first.x << " " << zoom1*ptr->first.y << " " << matcher.getZoomRef()[i]*ptr->second.x << " " << matcher.getZoomRef()[i]*ptr->second.y << std::endl; } } } else { std::cerr << "Unable to open the file matchings."; } file.close(); return 0; }