IplImage 与 CBitmap类的相互转换

骑猪看日落 2021-12-11 07:01 222阅读 0赞

在VC中利用OpenCV做图像处理程序时，有时需要把IpImage 类型和CBitmap类型相互转换，这样就可以利用VC中的GDI+函数对图像进行某些特殊的显示和处理，非常方便。这里是本人项目中写的两个转换小函数，仅供参考，转载注明，这样方便发现问题的朋友联系我及时修改。

IplImage转换为CBitmap类型

CBitmap \*IplImage2CBitmap(const IplImage \*pImage)  
\{  
if( pImage && pImage->depth == IPL\_DEPTH\_8U )  
\{  
HDC hDC=GetDC(NULL);  
uchar buffer\[sizeof(BITMAPINFOHEADER) + 1024\];  
BITMAPINFO\* bmi = (BITMAPINFO\*)buffer;  
int bmp\_w = pImage->width, bmp\_h = pImage->height;  
FillBitmapInfo( bmi, bmp\_w, bmp\_h, pImage->depth\*pImage->nChannels, pImage->origin );  
  
char \*pBits=NULL;  
HBITMAP hBitmap=CreateDIBSection(hDC,bmi,DIB\_RGB\_COLORS,(void\*\*)&pBits,NULL,0);  
memcpy(pBits,pImage->imageData,pImage->imageSize);  
CBitmap \*pBitmap=new CBitmap;  
pBitmap->Attach(hBitmap);

return pBitmap;  
\}  
else  
return NULL;  
\}

void FillBitmapInfo( BITMAPINFO\* bmi, int width, int height, int bpp, int origin )  
\{  
assert( bmi && width >= 0 && height >= 0 && (bpp == 8 || bpp == 24 || bpp == 32));

BITMAPINFOHEADER\* bmih = &(bmi->bmiHeader);

memset( bmih, 0, sizeof(\*bmih));  
bmih->biSize = sizeof(BITMAPINFOHEADER);  
bmih->biWidth = width;  
bmih->biHeight = origin ? abs(height) : -abs(height);  
bmih->biPlanes = 1;  
bmih->biBitCount = (unsigned short)bpp;  
bmih->biCompression = BI\_RGB;

if( bpp == 8 )  
\{  
RGBQUAD\* palette = bmi->bmiColors;  
int i;  
for( i = 0; i < 256; i++ )  
\{  
palette\[i\].rgbBlue = palette\[i\].rgbGreen = palette\[i\].rgbRed = (BYTE)i;  
palette\[i\].rgbReserved = 0;  
\}  
\}  
\}

CBitmap转换为IplImage类型

IplImage \*CBitmap2IplImage(const CBitmap \*pBitmap)  
\{  
DIBSECTION ds;  
pBitmap->GetObject(sizeof(ds),&ds);  
IplImage \*pImage=cvCreateImage(cvSize(ds.dsBm.bmWidth,ds.dsBm.bmHeight),8,ds.dsBmih.biBitCount/8);  
memcpy(pImage->imageData,ds.dsBm.bmBits,pImage->imageSize);  
return pImage;  
\}

下面的方法同样可以做此转换：

HBITMAP hBmp = HBITMAP(memBitmap);  
BITMAP bmp;  
memBitmap.GetBitmap(&bmp);  
int depth,nChannels;  
if(bmp.bmBitsPixel == 1)//得到图像深度和通道数  
\{  
depth=IPL\_DEPTH\_1U;  
nChannels=1;  
\}  
else  
\{  
depth=IPL\_DEPTH\_8U;  
nChannels=bmp.bmBitsPixel/8;  
\}  
IplImage\* pImageBuf = cvCreateImage(cvSize(bmp.bmWidth,bmp.bmHeight), depth, nChannels); //创建图像  
BYTE \*pBuffer = new BYTE\[bmp.bmHeight\*bmp.bmWidth\*nChannels\]; //创建缓冲区  
GetBitmapBits(hBmp, bmp.bmHeight\*bmp.bmWidth\*nChannels, pBuffer); //将位图信息复制到缓冲区  
memcpy(pImageBuf->imageData, pBuffer, bmp.bmHeight\*bmp.bmWidth\*nChannels);//将缓冲区信息复制给IplImage