int label = 1; for (int i = 1; i < inputImg.rows - 1; i++) for (int j = 1; j < inputImg.cols - 1; j++) { if (inputImg.at<uchar>(i, j) == 255) { cv::Point currentPoint(j, i); std::vector<cv::Point> neighborPoints; neighborPoints.push_back(cv::Point(j - 1, i - 1)); neighborPoints.push_back(cv::Point(j, i - 1)); neighborPoints.push_back(cv::Point(j + 1, i - 1)); neighborPoints.push_back(cv::Point(j - 1, i)); int minLabel = 255; for (std::vector<cv::Point>::iterator it = neighborPoints.begin(); it != neighborPoints.end(); it++) { int neighborLabel = labelImg.at<int>(it->y, it->x); if (neighborLabel > 0 && neighborLabel < minLabel) minLabel = neighborLabel; } if (minLabel == 255) { labelImg.at<int>(i, j) = label; label++; } else { labelImg.at<int>(i, j) = minLabel; for (std::vector<cv::Point>::iterator it = neighborPoints.begin(); it != neighborPoints.end(); it++) if (labelImg.at<int>(it->y, it->x) > 0 && labelImg.at<int>(it->y, it->x) != minLabel) { int tempLabel = labelImg.at<int>(it->y, it->x); cv::Mat mask = (labelImg == tempLabel); labelImg.setTo(minLabel, mask); } } } }如何让标记的不同区域数值不一样，不再是每个区域都是1，而是不同区域可以有1 2 3之类的

可以在代码中增加一个变量来记录当前已经标记的区域数，初始值为1，每当发现一个新的区域时，将该变量的值加1并赋给该区域的标记值。例如：

int label = 1;
int numRegions = 1; // 记录当前已经标记的区域数
for (int i = 1; i < inputImg.rows - 1; i++)
    for (int j = 1; j < inputImg.cols - 1; j++)
    {
        if (inputImg.at<uchar>(i, j) == 255)
        {
            cv::Point currentPoint(j, i);
            std::vector<cv::Point> neighborPoints;
            neighborPoints.push_back(cv::Point(j - 1, i - 1));
            neighborPoints.push_back(cv::Point(j, i - 1));
            neighborPoints.push_back(cv::Point(j + 1, i - 1));
            neighborPoints.push_back(cv::Point(j - 1, i));
            int minLabel = 255;
            for (std::vector<cv::Point>::iterator it = neighborPoints.begin(); it != neighborPoints.end(); it++)
            {
                int neighborLabel = labelImg.at<int>(it->y, it->x);
                if (neighborLabel > 0 && neighborLabel < minLabel)
                    minLabel = neighborLabel;
            }
            if (minLabel == 255)
            {
                labelImg.at<int>(i, j) = numRegions;
                numRegions++; // 新区域的标记值为当前已经标记的区域数
            }
            else
            {
                labelImg.at<int>(i, j) = minLabel;
                for (std::vector<cv::Point>::iterator it = neighborPoints.begin(); it != neighborPoints.end(); it++)
                    if (labelImg.at<int>(it->y, it->x) > 0 && labelImg.at<int>(it->y, it->x) != minLabel)
                    {
                        int tempLabel = labelImg.at<int>(it->y, it->x);
                        cv::Mat mask = (labelImg == tempLabel);
                        labelImg.setTo(minLabel, mask);
                    }
            }
        }
    }

这样就可以实现不同区域的标记值不同。