OpenCV的Mat和Halcon的HObject类型互相转换

项目之前一直使用的OpenCV，最近有个小问题使用Halcon有更好的效果，于是有了cv::Mat和Halcon中HObject互相转换的需求。

参考了博客http://blog.csdn.net/u010627377/article/details/76687178，我使用他的代码的时候出错了，于是在其基础上稍微做了下修改。Halcon的版本是13，OpenCV的版本是3.2。如有问题，欢迎讨论。

  
  
HObject Mat2HObject(const cv::Mat &image)
{
HObject Hobj = HObject();
int hgt = image.rows;
int wid = image.cols;
int i;
// CV_8UC3
if (image.type() == CV_8UC3)
{
vector<cv::Mat> imgchannel;
split(image, imgchannel);
cv::Mat imgB = imgchannel[ 0];
cv::Mat imgG = imgchannel[ 1];
cv::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;
}

cv:: Mat HObject2Mat(HObject Hobj)
{
HTuple htCh;
HString cType;
cv::Mat Image;
ConvertImageType(Hobj, &Hobj, "byte");
CountChannels(Hobj, &htCh);
Hlong wid = 0;
Hlong hgt = 0;
if (htCh[ 0].I() == 1)
{
HImage hImg(Hobj);
void *ptr = hImg.GetImagePointer1(&cType, &wid, &hgt); //GetImagePointer1(Hobj, &ptr, &cType, &wid, &hgt);
int W = wid;
int H = hgt;
Image.create(H, W, CV_8UC1);
unsigned char *pdata = static_cast< unsigned char *>(ptr);
memcpy(Image.data, pdata, W*H);
}
else if (htCh[ 0].I() == 3)
{
void *Rptr;
void *Gptr;
void *Bptr;
HImage hImg(Hobj);
hImg.GetImagePointer3(&Rptr, &Gptr, &Bptr, &cType, &wid, &hgt);
int W = wid;
int H = hgt;
Image.create(H, W, CV_8UC3);
vector<cv::Mat> VecM( 3);
VecM[ 0].create(H, W, CV_8UC1);
VecM[ 1].create(H, W, CV_8UC1);
VecM[ 2].create(H, W, CV_8UC1);
unsigned char *R = ( unsigned char *)Rptr;
unsigned char *G = ( unsigned char *)Gptr;
unsigned char *B = ( unsigned char *)Bptr;
memcpy(VecM[ 2].data, R, W*H);
memcpy(VecM[ 1].data, G, W*H);
memcpy(VecM[ 0].data, B, W*H);
cv::merge(VecM, Image);
}
return Image;
}