python-binding/imagething.cpp at master · ForrestPi/python-binding · GitHub

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#include <opencv2/opencv.hpp>
#include <iostream>
#include <vector>
#include <limits>

using namespace cv;
using namespace std;

/**
 * @brief 对输入图像进行细化
 * @param[in] src为输入图像,用cvThreshold函数处理过的8位灰度图像格式，元素中只有0与1,1代表有元素，0代表为空白
 * @param[out] dst为对src细化后的输出图像,格式与src格式相同，调用前需要分配空间，元素中只有0与1,1代表有元素，0代表为空白
 * @param[in] maxIterations限制迭代次数，如果不进行限制，默认为-1，代表不限制迭代次数，直到获得最终结果
 */
void thinImage(IplImage* src,IplImage* dst,int maxIterations = -1 )
{
    CvSize size = cvGetSize(src);
    cvCopy(src,dst);//将src中的内容拷贝到dst中
    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::cout << count << ' ';输出迭代次数
        vector<pair<int,int> > mFlag; //用于标记需要删除的点
        //对点标记
        for (int i=0; i<size.height; ++i)
        {
            for (int j=0; j<size.width; ++j)
            {
                //如果满足四个条件，进行标记
                //  p9 p2 p3
                //  p8 p1 p4
                //  p7 p6 p5
                int p1 = CV_IMAGE_ELEM(dst,uchar,i,j);
                int p2 = (i==0)?0:CV_IMAGE_ELEM(dst,uchar,i-1,j);
                int p3 = (i==0 || j==size.width-1)?0:CV_IMAGE_ELEM(dst,uchar,i-1,j+1);
                int p4 = (j==size.width-1)?0:CV_IMAGE_ELEM(dst,uchar,i,j+1);
                int p5 = (i==size.height-1 || j==size.width-1)?0:CV_IMAGE_ELEM(dst,uchar,i+1,j+1);
                int p6 = (i==size.height-1)?0:CV_IMAGE_ELEM(dst,uchar,i+1,j);
                int p7 = (i==size.height-1 || j==0)?0:CV_IMAGE_ELEM(dst,uchar,i+1,j-1);
                int p8 = (j==0)?0:CV_IMAGE_ELEM(dst,uchar,i,j-1);
                int p9 = (i==0 || j==0)?0:CV_IMAGE_ELEM(dst,uchar,i-1,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)
                    {
                        if (p2*p4*p6==0)
                        {
                            if (p4*p6*p8==0)
                            {
                                //标记
                                mFlag.push_back(make_pair(i,j));
                            }
                        }
                    }
                }
            }
        }

        //将标记的点删除
        for (vector<pair<int,int> >::iterator i=mFlag.begin(); i!=mFlag.end(); ++i)
        {
            CV_IMAGE_ELEM(dst,uchar,i->first,i->second) = 0;
        }

        //直到没有点满足，算法结束
        if (mFlag.size()==0)
        {
            break;
        }
        else
        {
            mFlag.clear();//将mFlag清空
        }

        //对点标记
        for (int i=0; i<size.height; ++i)
        {
            for (int j=0; j<size.width; ++j)
            {
                //如果满足四个条件，进行标记
                //  p9 p2 p3
                //  p8 p1 p4
                //  p7 p6 p5
                int p1 = CV_IMAGE_ELEM(dst,uchar,i,j);
                if(p1!=1) continue;
                int p2 = (i==0)?0:CV_IMAGE_ELEM(dst,uchar,i-1,j);
                int p3 = (i==0 || j==size.width-1)?0:CV_IMAGE_ELEM(dst,uchar,i-1,j+1);
                int p4 = (j==size.width-1)?0:CV_IMAGE_ELEM(dst,uchar,i,j+1);
                int p5 = (i==size.height-1 || j==size.width-1)?0:CV_IMAGE_ELEM(dst,uchar,i+1,j+1);
                int p6 = (i==size.height-1)?0:CV_IMAGE_ELEM(dst,uchar,i+1,j);
                int p7 = (i==size.height-1 || j==0)?0:CV_IMAGE_ELEM(dst,uchar,i+1,j-1);
                int p8 = (j==0)?0:CV_IMAGE_ELEM(dst,uchar,i,j-1);
                int p9 = (i==0 || j==0)?0:CV_IMAGE_ELEM(dst,uchar,i-1,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)
                    {
                        if (p2*p4*p8==0)
                        {
                            if (p2*p6*p8==0)
                            {
                                //标记
                                mFlag.push_back(make_pair(i,j));
                            }
                        }
                    }
                }
            }
        }
        //删除
        for (vector<pair<int,int> >::iterator i=mFlag.begin(); i!=mFlag.end(); ++i)
        {
            CV_IMAGE_ELEM(dst,uchar,i->first,i->second) = 0;
        }

        //直到没有点满足，算法结束
        if (mFlag.size()==0)
        {
            break;
        }
        else
        {
            mFlag.clear();//将mFlag清空
        }
    }
}

int main(int argc, char*argv[])
{
    //获取图像
    if (argc!=3)
    {
        cout << "参数个数错误！"<<endl;
        return -1;
    }
    IplImage *pSrc = cvLoadImage(argv[1],CV_LOAD_IMAGE_GRAYSCALE);
    if (!pSrc)
    {
        cout << "读取文件失败！" << endl;
        return -1;
    }
    IplImage *pTemp = cvCreateImage(cvGetSize(pSrc),pSrc->depth,pSrc->nChannels);
    IplImage *pDst = cvCreateImage(cvGetSize(pSrc),pSrc->depth,pSrc->nChannels);

    //将原图像转换为二值图像
    cvThreshold(pSrc,pTemp,128,1,CV_THRESH_BINARY_INV);
    //图像细化
    thinImage(pTemp,pDst);

    for (int i=0; i<pDst->height; ++i)
    {
        for (int j=0; j<pDst->width; ++j)
        {
            if(CV_IMAGE_ELEM(pDst,uchar,i,j)==1)
                CV_IMAGE_ELEM(pDst,uchar,i,j)= 255;
        }
    }

    //namedWindow("src",CV_WINDOW_AUTOSIZE);
    //namedWindow("dst",CV_WINDOW_AUTOSIZE);
    //cvShowImage("src",pSrc);
    //cvShowImage("dst",pDst);
    cvSaveImage(argv[2],pDst);
    //waitKey(0);
}