Opencv Shi-Tomasi角点检测

#include <iostream>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;

Mat img1, img2, img3, img4, img5, img6, img_result, img_gray1, img_gray2, img_gray3, img_canny1, img_binary1, img_dist1, img_dist2, kernel_1, kernel_2, img_laplance, img_sharp;

char win1[] = "window1";
char win2[] = "window2";
char win3[] = "window3";
char win4[] = "window4";
char win5[] = "window5";
char win6[] = "window6";
char win7[] = "window7";

int thread_value = 60;
int max_value = 255;
RNG rng1(12345);
RNG rng2(1235);

int Demo_Shi_Tomasi();
void Demo_1(int, void*);

//Shi-Tomasi角点检测
int Demo_Shi_Tomasi()
{
　　namedWindow(win1, CV_WINDOW_AUTOSIZE);
　　//namedWindow(win2, CV_WINDOW_AUTOSIZE);
　　//namedWindow(win3, CV_WINDOW_AUTOSIZE);

　　img1 = imread("D://images//4//3.jpg");
　　//img2 = imread("D://images//1//p5_1.jpg");
　　if (img1.empty())
　　{
　　　　cout << "could not load image..." << endl;
　　　　return 0;
　　}
　　imshow(win1, img1);

　　cvtColor(img1, img2, CV_BGR2GRAY);
　　imshow(win2, img2);

　　createTrackbar("Track", win1, &thread_value, max_value, Demo_1);
　　Demo_1(0, 0);

　　return 0;
}

void Demo_1(int, void*)
{
　　if (thread_value<10)
　　{
　　　　thread_value = 10;
　　}
　　//img3 = Mat::zeros(img2.size(), CV_32FC1);
　　vector<Point2f> vec_points;
　　double qualityLevel = 0.01;
　　double minDistance = 10;
　　int blockSize = 2;
　　int kSize = 3;
　　double k = 0.04;

　　img4 = img1.clone();

　　goodFeaturesToTrack(img2, vec_points, thread_value, qualityLevel, minDistance, Mat(), blockSize, false,k);

　　for (size_t t=0;t<vec_points.size();t++)
　　{
　　　　Scalar color_1 = Scalar(rng1.uniform(0,255), rng1.uniform(0, 255), rng1.uniform(0, 255));
　　　　circle(img4, vec_points[t], 2, color_1, 2, 8, 0);
　　}
　　
　　imshow(win4, img4);
}

int main()
{
　　Demo_Shi_Tomasi();

　　waitKey(0);
　　return 0;
}

巴特西

Opencv Shi-Tomasi角点检测

最新文章

热门文章