Question

我正在尝试使用OpenCV来计算图像的质量中心并且我得到了错误，正如您在图像中看到的那样（在这种情况下质量中心不得偏离任何一侧）。而且，我得到的质量中心取决于轮换，这是不正确的。

接下来，您可以看到代码，输入图像和输出图像。

我尝试了不同的示例代码，结果是一样的。

输出图片：Mass center calculated by the program 输入图片：Image Input

示例代码：

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

using namespace cv;
using namespace std;

Mat src; Mat srcGray;
RNG rng(12345);

int main(int argc, char **argv)
{
    // Load source image and convert it to gray
    src = imread(argv[1], 1);

    // Convert image to gray and blur it
    cvtColor(src, srcGray, CV_BGR2GRAY);
    blur(srcGray, srcGray, Size(3, 3));

    Mat srcThresh;
    double otsu;

    otsu = threshold(srcGray, srcThresh, 0, 255, CV_THRESH_BINARY | CV_THRESH_OTSU);

    Mat cannyOut;
    Canny(srcGray, cannyOut, otsu, otsu * 1 / 2, 3, 1);

    // Find contours
    vector<vector<Point> > contours;
    vector<Vec4i> hierarchy;

    findContours(cannyOut, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));

    // Get the moments
    vector<Moments> mu(contours.size());
    for (int i = 0; i < contours.size(); i++)
    {
        mu[i] = moments(contours[i], false);
    }

    //  Get the mass centers:
    vector<Point2f> mc(contours.size());
    for (int i = 0; i < contours.size(); i++)
    {
        mc[i] = Point2f(mu[i].m10 / mu[i].m00, mu[i].m01 / mu[i].m00);
    }

    // Draw contours
    Mat drawing = Mat::zeros(cannyOut.size(), CV_8UC3);
    string sObjectNumber;          // string which will contain the result
    ostringstream sContourNumber;   // stream used for the conversion

    for (int i = 0; i< contours.size(); i++)
    {
//        drawing.setTo(Scalar(0.0,0.0,0.0));
        sContourNumber << i;
        sObjectNumber = sContourNumber.str();   // Convert int to string
        Point pCoordinates(mc[i].x + 3, mc[i].y - 3);   // Text's coordinates (A little bit off from mass center)
        Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));
        drawContours(drawing, contours, i, color, 2, 8, hierarchy, 0, Point());
        circle(drawing, mc[i], 4, color, -1, 8, 0);     // Draw mass center
        putText(drawing, sObjectNumber, pCoordinates, CV_FONT_HERSHEY_COMPLEX, 1, color, 2, 8); // Write object number
        sContourNumber.str("");     // Clear string
        sContourNumber.clear();     // Clear any error flags

//        imshow("Contours", drawing);
//        waitKey();
    }

    double hu[7];
    for (int i = 0; i < contours.size(); i++)
    {
        cout << "Contour: " << i << " Area: " << contourArea(contours[i]) << " Length: " << arcLength(contours[i], true) << "\n";

        for (int j = 0; j < 7; j++)
        {
            HuMoments(mu[i], hu);
            cout << "Contour: " << i << " Hu: " << j << " Result: " << hu[j] << "\n";
        }
        cout << "\n";
    }

    imshow("Contours", drawing);

    waitKey(0);
    return(0);
}

非常感谢大家！迭

质量中心点错误（opencv和力矩函数）

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