【Halcon】获取Hobject的参数[pointer,type,width,height]
2016-06-15 08:48
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在将halcon程序转换到C++代码后有时我们会经常涉及到Halcon里面的Hobject类型的Image与Opencv里面的IplImage类型的Image之间的相互转换。相互转换分装成了两个函数,具体实现如下:
(1)、从Hobject到IplImage
IplImage* HImageToIplImage(Hobject &Hobj)
{
IplImage* pImage;
HTuple htChannels;
char cType[MAX_STRING];
Hlong width,height;
width=height=0;
//转换图像格式
convert_image_type(Hobj,&Hobj,"byte");
count_channels(Hobj,&htChannels);
if(htChannel[0].I()==1)
{
unsinged char* ptr;
get_image_pointer1(Hobj,(Hlong*)&ptr,cType,&width,&height);
pImage=cvCreateImage(cvSize(width,height),IPL_DEPTH_8U,1);
for(int i=0;i<height;i++)
{
memcpy(pImage->imageData+pImage->widthStep*i,ptr+width*i,width);
}
}
if(htChannels[0].I()==3)
{
unsinged char *ptrRed , *ptrGreen , *ptrBlue;
ptrRed=ptrGreen=ptrBlue=NULL;
get_image_pointer3(Hobj,(Hlong*)&ptrRed,(Hlong*)&ptrGreen,(Hlong*)&ptrBlue,cType,&width,&height)
IplImage *pImageRed , *pImageGreen , *pImageBlue ;
pImage=cvCreateImage(cvSize(width,height),IPL_DEPTH_8U,3);
pImageRed=cvCreateImage(cvSize(width,height),IPL_DEPTH_8U,1);
pImageGreen=cvCreateImage(cvSize(width,height),IPL_DEPTH_8U,1);
pImageBlue=cvCreateImage(cvSize(width,height),IPL_DEPTH_8U,1);
for(int i=0;i<height;i++)
{
memcpy(pImageRed->imageData+pImageRed->widthStep*i , ptrRed+width*i , width);
memcpy(pImageGreen->imageData+pImageGreen->widthStep*i , ptrGreen+width*i , width);
memcpy(pImageBlue->imageData+pImageBlue->widthStep*i , ptrBlue+width*i , width);
}
cvMerge(pImageBlue,pImageGreen,pImageRed,NULL,pImage);
cvReleaseImage(&pImageRed);
cvReleaseImage(&pImageGreen);
cvReleaseImage(&pImageBlue);
}
return pImage;
}
(2)、从IplImage到Hobject
Hobject IplImageToHImage(IplImage* pImage)
{
Hobject Hobj;
if(pImage->nChannels==1)
{
int height=pImage->height;
int width=pImage->width;
uchar *dataGray=new uchar[width*height];
for(int i=0; i<height; i++)
{
memcpy(dataGray+width*i, pImage->imageData+pImage->widthStep*i,width);
}
gen_image1(&Hobj,"byte",pImage->width,pImage->height,(Hlong)(dataGray));
delete[ ] dataGray;
}
if(pImage->nChannels==3)
{
IplImage *IpImageRed, *IplImageGreen, *IplImageBlue;
IplImageRed=cvCreateImage(cvSize(pImage),IPL_DEPTH_8U,1);
IplImageGreen=cvCreateImage(cvSize(pImage),IPL_DEPTH_8U,1);
IplImageBlue=cvCreateImage(cvSize(pImage),IPL_DEPTH_8U,1);
cvSplit(pImage, pImageBlue, pImageGreen, pImageRed,NULL);
uchar* dataRed=new uchar[pImage->width*pImage->height];
uchar* dataGreen=new uchar[pImage->width*pImage->height];
uchar* dataBlue=new uchar[pImage->width*pImage->height];
int height=pImage->height;
int width=pImage->width;
for(int i=0; i<height; i++)
{
memcpy(dataRed+width*i, pImageRed->imageData+pImageRed->widthStep*i,width);
memcpy(dataGreen+width*i, pImageGreen->imageData+pImageGreen->widthStep*i,width);
memcpy(dataBlue+width*i, pImageBlue->imageData+pImageBlue->widthStep*i,width);
}
gen_image3(&Hobj,"byte",pImage->width,pImage->height,(Hlong)(dataRed),(Hlong)(dataGreen),(Hlong)(dataBlue));
cvReleaseImage(&pImageRed);
cvReleaseImage(&pImageGreen);
cvReleaseImage(&pImageBlue);
delete[ ] dataRed;
delete[ ] dataGreen;
delete[ ] dataBlue;
}
return Hobj;
}
(3)、封装一个画图函数
void DrawPicToHDC(IplImage* img , UINT ID)
{
CDC* pdc=GetDlgItem(ID)->GetDC();
HDC hdc=pdc->GetSafeHdc();
CRect rect;
GetDlgItem(ID)->GetClientRect(&rect);
CvvImage vvimg;
vvimg.CopyOf(img);
vvimg.DrawToHDC(hdc , &rect);
ReleaseDC(pdc);
}
(4)、测试
新建一个MFC对话框项目,添加一个pic控件,ID为IDC_IMG,添加一个图片显示按钮ShowImg,双击按钮添加消息处理函数,如下
建立一个全局变量
IplImage* opencv_image;
void OnBnClickedShowimg()
{
Hobject Image;
read_image(&Image,"E:/.../1.jpg");
opencv_image=HImageToIplImage(Image);
DrawPicToHDC(opencv_image,IDC_IMG);
cvReleaseImage(&opencv_image);
}
如果没有语法输入错误,应该就没问题了,可以将Halcon的图片转换为Opencv的图片,然后画到pic控件上。需要的环境就是要附加上opencv库和halcon库,还要加上CvvImage.h和CvvImage.cpp两个文件。这样就OK啦!
接口函数实现:
(1)、从Hobject到IplImage
IplImage* HImageToIplImage(Hobject &Hobj)
{
IplImage* pImage;
HTuple htChannels;
char cType[MAX_STRING];
Hlong width,height;
width=height=0;
//转换图像格式
convert_image_type(Hobj,&Hobj,"byte");
count_channels(Hobj,&htChannels);
if(htChannel[0].I()==1)
{
unsinged char* ptr;
get_image_pointer1(Hobj,(Hlong*)&ptr,cType,&width,&height);
pImage=cvCreateImage(cvSize(width,height),IPL_DEPTH_8U,1);
for(int i=0;i<height;i++)
{
memcpy(pImage->imageData+pImage->widthStep*i,ptr+width*i,width);
}
}
if(htChannels[0].I()==3)
{
unsinged char *ptrRed , *ptrGreen , *ptrBlue;
ptrRed=ptrGreen=ptrBlue=NULL;
get_image_pointer3(Hobj,(Hlong*)&ptrRed,(Hlong*)&ptrGreen,(Hlong*)&ptrBlue,cType,&width,&height)
IplImage *pImageRed , *pImageGreen , *pImageBlue ;
pImage=cvCreateImage(cvSize(width,height),IPL_DEPTH_8U,3);
pImageRed=cvCreateImage(cvSize(width,height),IPL_DEPTH_8U,1);
pImageGreen=cvCreateImage(cvSize(width,height),IPL_DEPTH_8U,1);
pImageBlue=cvCreateImage(cvSize(width,height),IPL_DEPTH_8U,1);
for(int i=0;i<height;i++)
{
memcpy(pImageRed->imageData+pImageRed->widthStep*i , ptrRed+width*i , width);
memcpy(pImageGreen->imageData+pImageGreen->widthStep*i , ptrGreen+width*i , width);
memcpy(pImageBlue->imageData+pImageBlue->widthStep*i , ptrBlue+width*i , width);
}
cvMerge(pImageBlue,pImageGreen,pImageRed,NULL,pImage);
cvReleaseImage(&pImageRed);
cvReleaseImage(&pImageGreen);
cvReleaseImage(&pImageBlue);
}
return pImage;
}
(2)、从IplImage到Hobject
Hobject IplImageToHImage(IplImage* pImage)
{
Hobject Hobj;
if(pImage->nChannels==1)
{
int height=pImage->height;
int width=pImage->width;
uchar *dataGray=new uchar[width*height];
for(int i=0; i<height; i++)
{
memcpy(dataGray+width*i, pImage->imageData+pImage->widthStep*i,width);
}
gen_image1(&Hobj,"byte",pImage->width,pImage->height,(Hlong)(dataGray));
delete[ ] dataGray;
}
if(pImage->nChannels==3)
{
IplImage *IpImageRed, *IplImageGreen, *IplImageBlue;
IplImageRed=cvCreateImage(cvSize(pImage),IPL_DEPTH_8U,1);
IplImageGreen=cvCreateImage(cvSize(pImage),IPL_DEPTH_8U,1);
IplImageBlue=cvCreateImage(cvSize(pImage),IPL_DEPTH_8U,1);
cvSplit(pImage, pImageBlue, pImageGreen, pImageRed,NULL);
uchar* dataRed=new uchar[pImage->width*pImage->height];
uchar* dataGreen=new uchar[pImage->width*pImage->height];
uchar* dataBlue=new uchar[pImage->width*pImage->height];
int height=pImage->height;
int width=pImage->width;
for(int i=0; i<height; i++)
{
memcpy(dataRed+width*i, pImageRed->imageData+pImageRed->widthStep*i,width);
memcpy(dataGreen+width*i, pImageGreen->imageData+pImageGreen->widthStep*i,width);
memcpy(dataBlue+width*i, pImageBlue->imageData+pImageBlue->widthStep*i,width);
}
gen_image3(&Hobj,"byte",pImage->width,pImage->height,(Hlong)(dataRed),(Hlong)(dataGreen),(Hlong)(dataBlue));
cvReleaseImage(&pImageRed);
cvReleaseImage(&pImageGreen);
cvReleaseImage(&pImageBlue);
delete[ ] dataRed;
delete[ ] dataGreen;
delete[ ] dataBlue;
}
return Hobj;
}
(3)、封装一个画图函数
void DrawPicToHDC(IplImage* img , UINT ID)
{
CDC* pdc=GetDlgItem(ID)->GetDC();
HDC hdc=pdc->GetSafeHdc();
CRect rect;
GetDlgItem(ID)->GetClientRect(&rect);
CvvImage vvimg;
vvimg.CopyOf(img);
vvimg.DrawToHDC(hdc , &rect);
ReleaseDC(pdc);
}
(4)、测试
新建一个MFC对话框项目,添加一个pic控件,ID为IDC_IMG,添加一个图片显示按钮ShowImg,双击按钮添加消息处理函数,如下
建立一个全局变量
IplImage* opencv_image;
void OnBnClickedShowimg()
{
Hobject Image;
read_image(&Image,"E:/.../1.jpg");
opencv_image=HImageToIplImage(Image);
DrawPicToHDC(opencv_image,IDC_IMG);
cvReleaseImage(&opencv_image);
}
如果没有语法输入错误,应该就没问题了,可以将Halcon的图片转换为Opencv的图片,然后画到pic控件上。需要的环境就是要附加上opencv库和halcon库,还要加上CvvImage.h和CvvImage.cpp两个文件。这样就OK啦!
接口函数实现:
open { float fVCamUID = config[0]; float fVFrame = config[1]; float fVShut = config[2]; float fVGain = config[3]; float fVResol = config[4]; float fVBright = config[5]; //Code generated by Image Acquisition 01 if( !bOpenFlag ) { // open_framegrabber("GigEVision", 0, 0, 0, 0, 0, 0, "progressive", -1, "default", // -1, "false", "default", "dca501bdf7cd_MindVision_GE500C", 0, -1, &AcqHandle); open_framegrabber("GigEVision", 0, 0, 0, 0, 0, 0, "progressive", 8, "gray", -1, "false", "default", "dca501bdf7cd_MindVision_GE500C", 0, -1, &AcqHandle); set_framegrabber_param(AcqHandle, "Width", 800); set_framegrabber_param(AcqHandle, "Height", 600); grab_image_start(AcqHandle, -1); bOpenFlag = true; } return 0; } snap { float uid3 = uid; if( bOpenFlag ) { grab_image(&camImage, AcqHandle); HTuple Type, htChannels; char cType[MAX_STRING]; Hlong width,height; //转换图像格式 convert_image_type(camImage,&camImage,"byte"); count_channels(camImage,&htChannels); if(htChannels[0].I()==1) { imgType = 0; unsigned char* ptr; ptr = NULL; get_image_pointer1(camImage,(Hlong*)&ptr, cType, &width, &height); } if(htChannels[0].I()==3) { imgType = 1; unsigned char *ptrRed , *ptrGreen , *ptrBlue; ptrRed = ptrGreen = ptrBlue = NULL; get_image_pointer3(camImage,(Hlong*)&ptrRed,(Hlong*)&ptrGreen,(Hlong*)&ptrBlue,cType,&width,&height); } imgWidth = width; imgHeight = height; } return 0; } close { float uid3 = uid; uid3 = uid; if( bOpenFlag ) { close_framegrabber(AcqHandle); bOpenFlag = false; } return 0; } info { float uid3 = uid; if( bOpenFlag ) { info[0] = imgType; info[1] = imgWidth; info[2] = imgHeight; } info[0] = 0; info[1] = 800; info[2] = 600; return 0; } data { float uid3 = uid; char cType[MAX_STRING]; Hlong width,height; if ( 0 == imgType ) { UINT8* pDst = new UINT8[imgWidth*imgHeight]; unsigned char* ptr; ptr = NULL; get_image_pointer1(camImage,(Hlong*)&ptr, cType, &width, &height); memcpy(pDst, ptr, width*height*sizeof(UINT8)); return pDst; } if ( 1 == imgType ) { UINT8* pDst = new UINT8[imgWidth*imgHeight*3]; unsigned char *ptrRed , *ptrGreen , *ptrBlue; ptrRed = ptrGreen = ptrBlue = NULL; get_image_pointer3(camImage,(Hlong*)&ptrRed,(Hlong*)&ptrGreen,(Hlong*)&ptrBlue,cType,&width,&height); for(int i=0; i < height; i++) { for ( int j=0;j < width; j++ ) { memcpy( pDst + width*i + j, ptrRed + width*i + j , sizeof(UINT8)); memcpy( pDst + width*i + j + 1, ptrGreen + width*i + j , sizeof(UINT8)); memcpy( pDst + width*i + j + 2, ptrBlue + width*i + j , sizeof(UINT8)); } } return pDst; } return 0; } num { float uid3 = 1; unsigned int usNum; usNum = 1; return usNum; }
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