Opencv和Halcon之间有很多数据要转换，特此记录

1 字符串与HTuple互转

char *pImageName = "D:/data/temp.png";
HTuple hv_path;
hv_path = (HTuple)(pImageName);
cout << hv_path.S() << endl;
string path = hv_path.S();
cout << path<<endl;

2 double与HTuple互转

HTuple hv_data;
hv_data = 10.0;
double data = hv_path.D();
cout << data<<endl;

3 Mat 与 HObject互转，这两个项目经常用，代码来自别的博客，非常感谢。

Mat 转 HObject

HObject Cpu_halcon_detect::mat_to_hobject(Mat& image)
{
    HObject Hobj = HObject();
    int hgt = image.rows;
    int wid = image.cols;
    int i;
    //  CV_8UC3  
    if (image.type() == CV_8UC3)
    {
        vector<Mat> imgchannel;
        split(image, imgchannel);
        Mat imgB = imgchannel[0];
        Mat imgG = imgchannel[1];
        Mat imgR = imgchannel[2];
        uchar* dataR = new uchar[hgt*wid];
        uchar* dataG = new uchar[hgt*wid];
        uchar* dataB = new uchar[hgt*wid];
        for (i = 0; i < hgt; i++)
        {
            memcpy(dataR + wid*i, imgR.data + imgR.step*i, wid);
            memcpy(dataG + wid*i, imgG.data + imgG.step*i, wid);
            memcpy(dataB + wid*i, imgB.data + imgB.step*i, wid);
        }
        GenImage3(&Hobj, "byte", wid, hgt, (Hlong)dataR, (Hlong)dataG, (Hlong)dataB);
        delete[]dataR;
        delete[]dataG;
        delete[]dataB;
        dataR = NULL;
        dataG = NULL;
        dataB = NULL;
    }
    //  CV_8UCU1  
    else if (image.type() == CV_8UC1)
    {
        uchar* data = new uchar[hgt*wid];
        for (i = 0; i < hgt; i++)
            memcpy(data + wid*i, image.data + image.step*i, wid);
        GenImage1(&Hobj, "byte", wid, hgt, (Hlong)data);
        delete[] data;
        data = NULL;
    }
    return Hobj;
}

 HObject 转 Mat

Mat Cpu_halcon_detect::hobject_to_mat(HObject Hobj)
{
    HTuple htCh = HTuple();
    HTuple cType;
    Mat Image;
    ConvertImageType(Hobj, &Hobj, "byte");
    CountChannels(Hobj, &htCh);
    HTuple wid;
    HTuple hgt;
    int W, H;
    if (htCh[0].I() == 1)
    {
        HTuple ptr;
        GetImagePointer1(Hobj, &ptr, &cType, &wid, &hgt);
        W = (Hlong)wid;
        H = (Hlong)hgt;
        Image.create(H, W, CV_8UC1);
        uchar* pdata = (uchar*)ptr[0].I();
        memcpy(Image.data, pdata, W*H);
    }
    else if (htCh[0].I() == 3)
    {
        HTuple ptrR, ptrG, ptrB;
        GetImagePointer3(Hobj, &ptrR, &ptrG, &ptrB, &cType, &wid, &hgt);
        W = (Hlong)wid;
        H = (Hlong)hgt;
        Image.create(H, W, CV_8UC3);
        vector<Mat> vecM(3);
        vecM[2].create(H, W, CV_8UC1);
        vecM[1].create(H, W, CV_8UC1);
        vecM[0].create(H, W, CV_8UC1);
        uchar* pr = (uchar*)ptrR[0].I();
        uchar* pg = (uchar*)ptrG[0].I();
        uchar* pb = (uchar*)ptrB[0].I();
        memcpy(vecM[2].data, pr, W*H);
        memcpy(vecM[1].data, pg, W*H);
        memcpy(vecM[0].data, pb, W*H);
        merge(vecM, Image);
    }
    return Image;
}

halcon还有一个region的数据结构，项目调试时，如果想显示出来，一个方法是直接保存到本地，还有就是可以用region_to_bin函数转为图像image格式，再显示，还有没有更好的方法？