通常HALCON集成到第三方语言中需要和HALCON中自定义类型交互，这样才可以调用HALCON中算子来处理。HALCON中的数据类型主要包括图形类型和控制参数两种，图形参数包括HImage、XLD；控制参数主要是HTuple。
HOject是HImage、XLD的基类，这里主要讲如何将Opencv中的mat类型转换成HOject类型，使得采集的图像可以被HALCON中算子处理。
首先是MAT转HObject

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;
}
 

接下来是

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;
}