基于OpenCV的connectedComponentsWithStats查找图像连通域，使用C++并进行从左上角到右下角的坐标排序

以下是基于OpenCV的connectedComponentsWithStats函数查找图像连通域，并按从左上角到右下角的坐标进行排序的C代码示例：

#include <stdio.h>
#include <opencv2/opencv.hpp>

using namespace cv;

int main(int argc, char** argv)
{
    Mat image = imread(argv[1], IMREAD_GRAYSCALE);
    if (image.empty())
    {
        printf("Cannot read image file: %s\n", argv[1]);
        return -1;
    }

    // Find connected components with statistics
    Mat labels, stats, centroids;
    int num_labels = connectedComponentsWithStats(image, labels, stats, centroids);

    // Sort by top-left corner coordinates
    for (int i = 1; i < num_labels; i++)
    {
        for (int j = i + 1; j < num_labels; j++)
        {
            if (stats.at<int>(i, CC_STAT_LEFT) > stats.at<int>(j, CC_STAT_LEFT) ||
                (stats.at<int>(i, CC_STAT_LEFT) == stats.at<int>(j, CC_STAT_LEFT) &&
                stats.at<int>(i, CC_STAT_TOP) > stats.at<int>(j, CC_STAT_TOP)))
            {
                // Swap labels
                int temp_label = labels.at<int>(0, i);
                labels.at<int>(0, i) = labels.at<int>(0, j);
                labels.at<int>(0, j) = temp_label;

                // Swap statistics
                for (int k = 0; k < CC_STAT_MAX; k++)
                {
                    int temp_stat = stats.at<int>(i, k);
                    stats.at<int>(i, k) = stats.at<int>(j, k);
                    stats.at<int>(j, k) = temp_stat;
                }

                // Swap centroids
                for (int k = 0; k < 2; k++)
                {
                    double temp_centroid = centroids.at<double>(i, k);
                    centroids.at<double>(i, k) = centroids.at<double>(j, k);
                    centroids.at<double>(j, k) = temp_centroid;
                }
            }
        }
    }

    // Print statistics for each component
    for (int i = 1; i < num_labels; i++)
    {
        printf("Component %d:\n", i);
        printf("  Left: %d\n", stats.at<int>(i, CC_STAT_LEFT));
        printf("  Top: %d\n", stats.at<int>(i, CC_STAT_TOP));
        printf("  Width: %d\n", stats.at<int>(i, CC_STAT_WIDTH));
        printf("  Height: %d\n", stats.at<int>(i, CC_STAT_HEIGHT));
        printf("  Area: %d\n", stats.at<int>(i, CC_STAT_AREA));
        printf("  Centroid: (%f, %f)\n", centroids.at<double>(i, 0), centroids.at<double>(i, 1));
    }

    return 0;
}

该代码使用OpenCV的connectedComponentsWithStats函数找到图像中的连通域，并使用嵌套循环按从左上角到右下角的顺序对它们进行排序。然后，对于每个连通域，该代码输出其统计信息，包括左上角坐标、宽度、高度、面积和质心。