#include "stdafx.h" #include <iostream> #include <stdio.h> #include <vector> #include "opencv2/imgproc/imgproc.hpp" #include "opencv2/imgcodecs.hpp" #include "opencv2/highgui/highgui.hpp" #include "opencv2/features2d/features2d.hpp" #include <iomanip> #include <fstream> using namespace std; using namespace cv; /// global variables int delay_caption = 1500; int delay_blur = 100; int max_kernel_length = 31; mat src; mat dst_inv,dst,dest[12],dog[8],grad_x,grad_x_2,grad_x_2_1,temp,p1,p2,x_max,hess[5]; char window_name[] = "smoothing demo"; /// function headers int display_caption(const char* caption); int display_dst(int delay); double k,v; int width,height,m = 0,m1 = 0,width2,height2; int sum1,r = 10,g = 0,c = 0; /** * function main */ int main(void) { namedwindow(window_name, window_autosize); ofstream outputfile; outputfile.open("data4.txt"); /// load source image src = imread("c:/users/adithyaanirudhha/documents/visual studio 2015/projects/consoleapplication2/pa.jpg", 1); if (display_caption("original image") != 0) { return 0; } dst = src.clone(); width = src.size().width; height = src.size().height; size size(height,width); if (display_dst(delay_caption) != 0) { return 0; } cvtcolor(src, src, cv_rgb2gray); /// applying gaussian blur //for(int j=0;j<4;j++) //{ //resize(src, src, size / 2); k = 2 ^ (1 / 2); for(int i=0;i<3;i++) { //if (display_caption("gaussian blur") != 0) { return 0; } gaussianblur(src, dst, size(), 1.6*k, 1.6*k); if (display_dst(delay_blur*10) != 0) { return 0; } k = k * k; dst.copyto(dest[m]); //dest[m] = dst; m++; } //} mat dog_inv; (int n = 0; n < 2; n++) { if(m1!=3 || m1 != 6 || m1 != 9) subtract(dest[m1 + 1], dest[m1], dog[n],noarray(),-1); } imshow(window_name, dog[1]); (int = 0; < 2; i++) { sobel(dog[1], grad_x, cv_16s, 1, 0, 3, 1, 0, border_default); convertscaleabs(grad_x, grad_x); transpose(grad_x, temp); sobel(dog[1], grad_x_2, cv_16s, 2, 0, 3, 1, 0, border_default); mat tmp; dog[1].convertto(tmp, cv_32f); convertscaleabs(grad_x_2, grad_x_2); c = invert(tmp,dog_inv, decomp_svd); //imshow(window_name,src); sobel(dog[1], grad_x_2_1, cv_16s, 2, 0, 3, 1, 0, border_default); convertscaleabs(grad_x_2_1, grad_x_2_1); //imshow(window_name,src); //grad_x_2_1 = grad_x_2_1.inv(cv_32f); multiply(grad_x_2_1,grad_x,x_max, 1, 1); multiply(temp, x_max, p1, 1, 1); transpose(x_max,temp); multiply(temp, grad_x_2, p2, 1, 1); multiply(p2, x_max, p2, 1, 1); imshow(window_name, dog[1]); /*for (int y = 0; y < dog[i].rows; y++) { (int x = 0; x < dog[i].cols; x++) { dog[i].at<vec3b>(y, x) = (-1 * (p1.at<vec3b>(y, x)) + 0.5*(p2.at<vec3b>(y, x)) + dog[i].at<vec3b>(y, x)); } }*/ //imshow(window_name, dog[1]); //imshow(window_name, src); /* (i = 0; i<2; i++) { v = determinant(dog[i]); } (int h = 0; h < dog[1].rows; h++) { sum1 = dog[1].at<uchar>(h, h); } } if ((sum1 ^ 2) / v >((r + 1) ^ 2) / r) { hess[g] = dog[1]; } */ /// wait until user press key //display_caption("end: press key!"); //imshow(window_name, dog[1]); //waitkey(0); //outputfile << dog[0] << endl; //cout << "m = " << endl << " " << dest[0] << endl << endl; } waitkey(0); return 0; } /** * @function display_caption */ int display_caption(const char* caption) { dst = mat::zeros(src.size(), src.type()); puttext(dst, caption, point(src.cols / 4, src.rows / 2), font_hershey_complex, 1, scalar(255, 255, 255)); imshow(window_name, dst); int c = waitkey(delay_caption); if (c >= 0) { return -1; } return 0; } /** * @function display_dst */ int display_dst(int delay) { imshow(window_name, dst); int c = waitkey(delay); if (c >= 0) { return -1; } return 0; } error :***** videoinput library - 0.1995 - tfw07 *****
opencv error: sizes of input arguments not match (the operation neither 'array op array' (where arrays have same size , same number of channels) , nor 'array op scalar', nor 'scalar op array') in cv::arithm_op, file c:\builds lave64\win64_amdocl\master_packslave-win64-vc14-shared\opencv\modules\core\src\a rithm.cpp, line 639 press key continue . . .
please thank :)
Comments
Post a Comment