Question

我对OpenCV很陌生，但我写了一个程序，可以检测学校项目视频中的圆圈。问题：在我的视频（.avi）中，有一些圈子没有被检测到，还有一些＆＃34;东西＆＃34;这是定义的不是圆圈，但它们被检测到。我在Windows 7上使用 OpenCV 3.0.0 ，我的编程语言是 C ++ 。您可以在下面找到代码。

我是如何与您分享视频文件的想法（可能会根据要求发送电子邮件）？

我认为问题是HoughCircles方法中的参数。有什么建议我怎么能找到想要的圈子？（我还在视频中发布了一个截图（灰色））。

如您所见，我想跟踪飞机起点/降落车道上的圆圈。

#include <iostream>
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"

using namespace cv;
using namespace std;

int main(int argc, char** argv)
{
    VideoCapture cap("C:/Users/Julian Büchel/Documents/Screen Video/Circle_Rotenburg.avi"); // open the video file for reading
    if (!cap.isOpened())  // if not success, exit program
    {
        cout << "Cannot open the video file" << endl;
        return -1;
    }

    double fps = cap.get(CV_CAP_PROP_FPS); //get the frames per seconds of the video

    cout << "Frame per seconds : " << fps << endl;

    namedWindow("MyVideo", CV_WINDOW_NORMAL); //create a window called "MyVideo"
    namedWindow("Trackbar", CV_WINDOW_NORMAL); //create a window called "Trackbar"
    resizeWindow("MyVideo", 1200, 700);
    resizeWindow("Trackbar", 1200, 200);


    //These are the parameters for my HoughCircles method. I added sliders to be able to adjust them.
    int iSliderValue1 = 1;
    createTrackbar("dp", "Trackbar", &iSliderValue1, 4);

    int iSliderValue2 = 200;
    createTrackbar("Min. Distance", "Trackbar", &iSliderValue2, 500);

    int iSliderValue3 = 200;
    createTrackbar("P1", "Trackbar", &iSliderValue3, 500);

    int iSliderValue4 = 100;
    createTrackbar("P2", "Trackbar", &iSliderValue4, 500);

    int iSliderValue5 = 0;
    createTrackbar("Min.R", "Trackbar", &iSliderValue5, 40);

    int iSliderValue6 = 15;
    createTrackbar("Max.R", "Trackbar", &iSliderValue6, 50);

    while (1)
    {
        Mat frame, gray;

        bool bSuccess = cap.read(frame); // read a new frame from video

        if (!bSuccess) //if not success, break loop
        {
            cout << "Cannot read the frame from video file" << endl;
            waitKey(10000);
            break;
        }

        //Should I add the GaussianBlur? Right now you can see the circles more clear, but it takes up more CPU.
        cvtColor(frame, gray, CV_RGB2GRAY);
        //GaussianBlur(gray, gray, Size(9, 9), 2, 2);

        vector<Vec3f> circles; //Store the circles

        // Apply the Hough Transform to find the circles
        //             src   vector   method            dp  dist p1   p2   miR maR 
        //HoughCircles(gray, circles, CV_HOUGH_GRADIENT, 2, 200, 200, 100, 25, 35);
        HoughCircles(gray, circles, CV_HOUGH_GRADIENT, iSliderValue1, iSliderValue2, iSliderValue3, iSliderValue4, iSliderValue5, iSliderValue6);
        //Draw circles
        for (size_t i = 0; i < circles.size(); i++)
        {
            Point center(cvRound(circles[i][0]), cvRound(circles[i][1]));
            int radius = cvRound(circles[i][2]);
            circle(gray, center, 3, Scalar(0, 255, 0), -1, 8, 0);// circle center     
            circle(gray, center, radius, Scalar(0, 0, 255), 3, 8, 0);// circle outside
            cout << "center : " << center << "\nradius : " << radius << endl;
        }

        imshow("MyVideo", gray); //show the frame in "MyVideo" window
        waitKey(25);//Make video slower/back to normal speed
        if (waitKey(30) == 27) //wait for 'esc' key press for 30 ms. If 'esc' key is pressed, break loop
        {
            cout << "esc key is pressed by user" << endl;
            break;
        }
    }
    return 0;
}

OpenCV无法检测圆圈

0 个答案: