opencv249_subpixel_corner_04[亞像素角點檢測]-有小數點的角點偵測(更精準)
opencv249_subpixel_corner_04[亞像素角點檢測]-有小數點的角點偵測(更精準)
GITHUB: https://github.com/jash-git/opencv249_Feature_Detection
#include <opencv2/core/core.hpp> #include <opencv2/highgui/highgui.hpp> #include <opencv2/imgproc/imgproc.hpp> #include <opencv2/ml/ml.hpp> #include <iostream> #include <cstdio> #include <sys/timeb.h> #if defined(WIN32) #define TIMEB _timeb #define ftime _ftime typedef __int64 TIME_T; #else #define TIMEB timeb typedef long long TIME_T; #endif using namespace cv; using namespace std; void Pause() { printf("Press Enter key to continue..."); fgetc(stdin); } int max_corners = 20; int max_count = 500; Mat src, gray_src; const char* output_title = "SubPixel Result"; void SubPixel_Demo(int, void*); int main() { src = imread("input.png"); if (!src.data) { printf("could not load image...\n"); } else { namedWindow("input image", CV_WINDOW_AUTOSIZE); imshow("input image", src); cvtColor(src, gray_src, COLOR_BGR2GRAY); namedWindow(output_title, CV_WINDOW_AUTOSIZE); createTrackbar("Corners:", output_title, &max_corners, max_count, SubPixel_Demo); SubPixel_Demo(0, 0); } waitKey(0); Pause(); return 0; } void SubPixel_Demo(int, void*) { if (max_corners < 5) { max_corners = 5; } vector<Point2f> corners; double qualityLevel = 0.01; double minDistance = 10; int blockSize = 3; double k = 0.04; goodFeaturesToTrack(gray_src, corners, max_corners, qualityLevel, minDistance, Mat(), blockSize, false, k); cout << "number of corners: " << corners.size() << endl; Mat resultImg = src.clone(); for (size_t t = 0; t < corners.size(); t++) { circle(resultImg, corners[t], 2, Scalar(0, 0, 255), 2, 8, 0); } imshow(output_title, resultImg); Size winSize = Size(5, 5); Size zerozone = Size(-1, -1); TermCriteria tc = TermCriteria(TermCriteria::EPS + TermCriteria::MAX_ITER, 40, 0.001); cornerSubPix(gray_src, corners, winSize, zerozone, tc); for (size_t t = 0; t < corners.size(); t++) { cout << (t + 1) << " .point[x, y] = " << corners[t].x << " , " << corners[t].y << endl; } return; }