opencv使用细化算法后要怎么分区域得到坐标, 类似findContours函数?

opencv使用细化算法后要怎么分区域得到坐标, 类似findContours函数?
图片说明

我想拿到每一块的坐标, 而不是一行一列遍历出所有点, 没有顺序

或者说有什么算法可以识别出路径?

cv::Mat Widget::thinImage(const cv::Mat & src, const int maxIterations)
{
    assert(src.type() == CV_8UC1);
    cv::Mat dst;
    int width = src.cols;
    int height = src.rows;
    src.copyTo(dst);
    int count = 0;  //记录迭代次数
    while (true)
    {
        count++;
        if (maxIterations != -1 && count > maxIterations) //限制次数并且迭代次数到达
            break;
        std::vector<uchar *> mFlag; //用于标记需要删除的点
        //对点标记
        for (int i = 0; i < height; ++i)
        {
            uchar * p = dst.ptr<uchar>(i);
            for (int j = 0; j < width; ++j)
            {
                //如果满足四个条件,进行标记
                //  p9 p2 p3
                //  p8 p1 p4
                //  p7 p6 p5
                uchar p1 = p[j];
                if (p1 != 1) continue;
                uchar p4 = (j == width - 1) ? 0 : *(p + j + 1);
                uchar p8 = (j == 0) ? 0 : *(p + j - 1);
                uchar p2 = (i == 0) ? 0 : *(p - dst.step + j);
                uchar p3 = (i == 0 || j == width - 1) ? 0 : *(p - dst.step + j + 1);
                uchar p9 = (i == 0 || j == 0) ? 0 : *(p - dst.step + j - 1);
                uchar p6 = (i == height - 1) ? 0 : *(p + dst.step + j);
                uchar p5 = (i == height - 1 || j == width - 1) ? 0 : *(p + dst.step + j + 1);
                uchar p7 = (i == height - 1 || j == 0) ? 0 : *(p + dst.step + j - 1);
                // 周围有2-6个点
                if ((p2 + p3 + p4 + p5 + p6 + p7 + p8 + p9) >= 2 && (p2 + p3 + p4 + p5 + p6 + p7 + p8 + p9) <= 6)
                {
                    int ap = 0;
                    if (p2 == 0 && p3 == 1) ++ap;
                    if (p3 == 0 && p4 == 1) ++ap;
                    if (p4 == 0 && p5 == 1) ++ap;
                    if (p5 == 0 && p6 == 1) ++ap;
                    if (p6 == 0 && p7 == 1) ++ap;
                    if (p7 == 0 && p8 == 1) ++ap;
                    if (p8 == 0 && p9 == 1) ++ap;
                    if (p9 == 0 && p2 == 1) ++ap;

                    if (ap == 1 && p2 * p4 * p6 == 0 && p4 * p6 * p8 == 0)
                    {
                        //标记
                        mFlag.push_back(p + j);
                    }
                }
            }
        }

        //将标记的点删除
        for (std::vector<uchar *>::iterator i = mFlag.begin(); i != mFlag.end(); ++i)
        {
            **i = 0;
        }

        //直到没有点满足,算法结束
        if (mFlag.empty())
        {
            break;
        }
        else
        {
            mFlag.clear();//将mFlag清空
        }

        //对点标记
        for (int i = 0; i < height; ++i)
        {
            uchar * p = dst.ptr<uchar>(i);
            for (int j = 0; j < width; ++j)
            {
                //如果满足四个条件,进行标记
                //  p9 p2 p3
                //  p8 p1 p4
                //  p7 p6 p5
                uchar p1 = p[j];
                if (p1 != 1) continue;
                uchar p4 = (j == width - 1) ? 0 : *(p + j + 1);
                uchar p8 = (j == 0) ? 0 : *(p + j - 1);
                uchar p2 = (i == 0) ? 0 : *(p - dst.step + j);
                uchar p3 = (i == 0 || j == width - 1) ? 0 : *(p - dst.step + j + 1);
                uchar p9 = (i == 0 || j == 0) ? 0 : *(p - dst.step + j - 1);
                uchar p6 = (i == height - 1) ? 0 : *(p + dst.step + j);
                uchar p5 = (i == height - 1 || j == width - 1) ? 0 : *(p + dst.step + j + 1);
                uchar p7 = (i == height - 1 || j == 0) ? 0 : *(p + dst.step + j - 1);

                if ((p2 + p3 + p4 + p5 + p6 + p7 + p8 + p9) >= 2 && (p2 + p3 + p4 + p5 + p6 + p7 + p8 + p9) <= 6)
                {
                    int ap = 0;
                    if (p2 == 0 && p3 == 1) ++ap;
                    if (p3 == 0 && p4 == 1) ++ap;
                    if (p4 == 0 && p5 == 1) ++ap;
                    if (p5 == 0 && p6 == 1) ++ap;
                    if (p6 == 0 && p7 == 1) ++ap;
                    if (p7 == 0 && p8 == 1) ++ap;
                    if (p8 == 0 && p9 == 1) ++ap;
                    if (p9 == 0 && p2 == 1) ++ap;

                    if (ap == 1 && p2 * p4 * p8 == 0 && p2 * p6 * p8 == 0)
                    {
                        //标记
                        mFlag.push_back(p + j);
                    }
                }
            }
        }

        //将标记的点删除
        for (std::vector<uchar *>::iterator i = mFlag.begin(); i != mFlag.end(); ++i)
        {
            **i = 0;
        }

        //直到没有点满足,算法结束
        if (mFlag.empty())
        {
            break;
        }
        else
        {
            mFlag.clear();//将mFlag清空
        }
    }
    return dst;
}

已解决, 自己写了个算法, 对细化后的图片再遍历, 获取路径

https://blog.csdn.net/qq_33166535/article/details/76187347

可以自己写方法实现,使用findContours 获取到每个块的轮廓,从而获取到每个块的坐标,然后遍历移除黑色坐标,剩下的就是要的结果了