halcon转opencv需要1.7ms,opencv转halcon需要30ms。
#include "HalconCpp.h"
#include "opencv2/opencv.hpp"
using namespace cv;
using namespace std;
using namespace HalconCpp;
HObject Mat2HObject(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;
}
Mat HObject2Mat(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*)(Hlong)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*)(Hlong)ptrR[0];
uchar* pg = (uchar*)(Hlong)ptrG[0];
uchar* pb = (uchar*)(Hlong)ptrB[0];
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;
}
HObject IplImageToHImage(cv::Mat& pImage)
{
HObject Hobj;
if (3 == pImage.channels())
{
cv::Mat pImageRed, pImageGreen, pImageBlue;
std::vector<cv::Mat> sbgr(3);
cv::split(pImage, sbgr);
int length = pImage.rows * pImage.cols;
uchar *dataBlue = new uchar[length];
uchar *dataGreen = new uchar[length];
uchar *dataRed = new uchar[length];
int height = pImage.rows;
int width = pImage.cols;
for (int row = 0; row < height; row++)
{
uchar* ptr = pImage.ptr<uchar>(row);
for (int col = 0; col < width; col++)
{
dataBlue[row * width + col] = ptr[3 * col];
dataGreen[row * width + col] = ptr[3 * col + 1];
dataRed[row * width + col] = ptr[3 * col + 2];
}
}
double t = (double)getTickCount();
GenImage3(&Hobj, "byte", width, height, (Hlong)(dataRed), (Hlong)(dataGreen), (Hlong)(dataBlue));
t = (double)getTickCount() - t;
t = t*1000. / cv::getTickFrequency();
cout << t << endl;
delete[] dataRed;
delete[] dataGreen;
delete[] dataBlue;
}
else if (1 == pImage.channels())
{
int height = pImage.rows;
int width = pImage.cols;
uchar *dataGray = new uchar[width * height];
memcpy(dataGray, pImage.data, width * height);
GenImage1(&Hobj, "byte", width, height, (Hlong)(dataGray));
delete[] dataGray;
}
return Hobj;
}
int main()
{
/*Hobj-->Mat*/
HImage img;
ReadImage(&img, "D:\\WorkSpace\\123.png");
Mat cvImg;
double t = (double)getTickCount();
cvImg = HObject2Mat(img);
t = (double)getTickCount() - t;
t = t*1000. / cv::getTickFrequency();
cout << t << endl;
imshow("cvWindow", cvImg);
//system("pause");
waitKey();
/**/
/*Mat-->hobj*
Mat cvImg=imread("D:\\WorkSpace\\123.png",0);
HImage img;
double t = (double)getTickCount();
img = Mat2HObject(cvImg);
// img = IplImageToHImage(cvImg);
t = (double)getTickCount() - t;
t = t*1000. / cv::getTickFrequency();
cout << t << endl;
Hlong width, height;
img.GetImageSize(&width, &height);
HWindow w(0, 0, 0.5*width, 0.5*height);
img.DispImage(w);
w.Click();
w.ClearWindow();
/**/
return 0;
}
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