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;
}