Find the dominant color from the image

hai
i am able get the dominant color from image.but i am not able to get the percentage of color.
this is my code get the dominant color from a image

cv::Matsource_img=cv::imread("detect.bmp",1); // Read image from path
 
    // Serialize, float
    cv::Mat data = source_img.reshape(1, source_img.total());
    data.convertTo(data, CV_32F);
    // Perform k-Means
    int k = 10;
    std::vector<int> labels;
    cv::Mat3f centers;
    cv::kmeans(data, k, labels, cv::TermCriteria(), 1, cv::KMEANS_PP_CENTERS, 	centers);

    // Make a poster! (Clustering)
    for (int i = 0; i < (int)labels.size(); ++i) {
        data.at<float>(i, 0) = centers.at<float>(labels[i], 0);
        data.at<float>(i, 1) = centers.at<float>(labels[i], 1);
        data.at<float>(i, 2) = centers.at<float>(labels[i], 2);
       // qDebug()<<labels.size();
    }
    // Un-Serialize, un-float
    cv::Mat destination = data.reshape(3, source_img.rows);
    destination.convertTo(source_img, CV_8UC3);
    std::sort(centers.begin(), centers.end(),
            [](const cv::Vec3f &a, const cv::Vec3f &b) -> bool
            { return a[0] + a[1] + a[2] > b[0] + b[1] + b[2]; }
        );
    // Paint!
    QLabel *palette[6] = {ui->b_1, ui->b_2, ui->b_3, ui->b_4, ui->b_5, ui->b_6};
    const int p = 0; // Offset
    for(int i = 0; i < 6; ++i) {
        // Set back color of label. Lazy ass way to show the colors
        std::stringstream back_clr;
        back_clr << centers.at<float>(i + p, 2) << "," << centers.at<float>(i + p, 1) << "," << centers.at<float>(i + p, 0);
        palette[i]->setStyleSheet(QString::fromStdString("background-color:rgb(" + back_clr.str() + ");"));
        qInfo()<< QString::fromStdString(back_clr.str() );
    }


this my output:

![Screenshot from 2021-04-09 16-51-30](upload://uclFTWZS0VTByEYj5YMDOLzUvne.png) 

"238.594,229.237,205.951"
"213.832,204.984,180.845"
"216.373,190.585,84.8002"
"218.931,132.845,105.804"
"138.95,143.804,118.714"
"198.743,110.853,46.7355"

But i want the out put like this
[238.59435545 229.23386034 205.94674433] 29.34%
[213.67154468 204.84374578 180.77144429] 21.07%
[198.76836914 110.87256368 46.76773957] 7.76%
[39.94140346 42.37245936 36.42510903] 7.68%
[216.17736047 190.52489076 84.93423309] 7.36%
[ 83.247557 108.82634188 70.66370203] 7.15%
[82.05183941 60.05586475 55.07991179] 5.87%
[218.7735931 132.99684942 105.99257623] 5.62%
[ 41.73549837 87.24996989 139.9000843 ] 5.07%
[132.72742222 139.51450372 113.63158587] 3.09%

the percentage (per center / distinct label) is something like:

// per center
int n = cv::countNonZero( labels == i );
double p = 100.0 * double(n) / (W*H);

your sorting looks pretty wrong to me (by linear bgr channel intensity ?),
you probably need something more advanced to sort by occurrence,
maybe just use a std::map :

std::map<double, Vec3f> m; // auto sorted by key (percentage)
// ... populate with percentage and center
for (auto it=m.rbegin(); it != m.rend(); it++) // backwards !
    cout  << it->second << " " << it->first << endl;