OpenCV findContours

//修改自https://visualgdb.com/tutorials/raspberry/opencv/camera/

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

using namespace cv;
using namespace std;

int main(int argc, char **argv)
{
    int threshold = 100;
    const int frameDelay = 100, maxContours = 500;

    Mat image;

    if (2 == argc)
    {
        image = imread(argv[1]);
    }
    else
    {
        cout << "usage: " << argv[0] << " + imageFileName" << endl;
        return -1;
    }

    if (image.empty())
    {
        cout << argv[1] << " is empty" << endl;
        return -2;
    }

    const char szSourceWindow[] = "Source", szContoursWindow[] = "Contours";
    namedWindow(szSourceWindow, WINDOW_AUTOSIZE);
    namedWindow(szContoursWindow, WINDOW_AUTOSIZE);
    createTrackbar("Threshold:", szSourceWindow, &threshold, 255, NULL);
    for (;;)
    {
        RNG rng(12345);
        Mat smallImage;
        resize(image, smallImage, Size(), 0.5, 0.5);
        imshow(szSourceWindow, smallImage);

        Mat canny_output;
        vector<vector<Point> > contours;
        vector<Vec4i> hierarchy;
        Canny(smallImage, canny_output, threshold, threshold * 2, 3);
        findContours(canny_output, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0));

        Mat drawing = Mat::zeros(canny_output.size(), CV_8UC3);
        for (size_t i = 0; i < std::min(contours.size(), (size_t)maxContours); i++)
        {
            Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));
            drawContours(drawing, contours, (int)i, color, 2, 8, hierarchy, 0, Point());
        }

        imshow(szContoursWindow, drawing);
        char c = (char)waitKey(frameDelay);
        if (27 == c || ' ' == c || 'q' == c)
        {
            break;
        }
    }

    cout << "done" << endl;
    return 0;
}

结果：

最后

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