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下面的function 可以把 IplImage 轉 Bitmap

////////////////////////////////////////////////////////////////////////////  
// - the IplImage "src" Image must have a IPL_DEPTH_8U depth              //  
//   and 1 or 3 channels                                                  //  
// - the convertion is done in regards to the ROI if it is set            //  
// - if you want to stretch your TBitmap ,specify width and height before //  
//   calling the function                                                 //  
////////////////////////////////////////////////////////////////////////////
  
bool __fastcall TForm1::IplImageToTBitmap(const IplImage *src,Graphics::TBitmap *dest)
{  
    if (!src || !dest)  
        return false;  
    IplImage *temp;  
    CvRect roi;
    if (src->roi)  
        roi=cvGetImageROI(src);  
    else 
        roi=cvRect(0,0,src->width,src->height);  
    temp=cvCreateImage(cvSize(roi.width,roi.height),IPL_DEPTH_8U,3);  
    if (src->nChannels!=3)  
        cvCvtColor(src,temp,CV_GRAY2RGB);  
    else 
        cvCopy(src,temp);  
    if (dest->Width==0 || dest->Height==0)  
    {  
        dest->Width = roi.width;  
        dest->Height = roi.height;  
    }  
    else 
    {  
        IplImage *temp1=cvCloneImage(temp);  
        cvReleaseImageData(temp);  
        cvInitImageHeader(temp,cvSize(dest->Width,dest->Height),IPL_DEPTH_8U,3,src->origin,4);
        cvCreateImageData(temp);  
        roi.width=dest->Width;  
        roi.height=dest->Height;  
        cvResize(temp1,temp);  
        cvReleaseImage(&temp1);  
    }  
    dest->PixelFormat=pf24bit;  
    try {      
        unsigned char *pLine;  
        int x,y;  
        for(y=0 ;y<roi.height;y++)  
        {  
            pLine = (unsigned char *)dest->ScanLine[y];  
            for(x=0 ;x <roi.width*3  ;x++)  
            {  
                pLine[x]= ((unsigned char*)(temp->imageData + temp->widthStep*y))[x];  
            }  
        }  
    }  
    catch(...)  
    {  
        ShowMessage("Error while converting ...");  
    }  
    cvReleaseImage(&temp);  
    return true;  
}
//-------------------------------------------------------------------

下面为示例代码:

Graphics::TBitmap *CapImg1 = new Graphics::TBitmap();
IplImageToTBitmap (img,CapImg1);
 Form1->Image1->Picture->Bitmap->Assign(CapImg1);
 delete CapImg1;

可用第一篇配置里边的例子改着试试,加个image控件,
//cvNamedWindow(filepath.c_str(),1);
    IplImage *src=cvLoadImage(filepath.c_str(),1);
    if(!src) return;
    Graphics::TBitmap *CapImg1 = new Graphics::TBitmap();
    IplImageToTBitmap(src,CapImg1);
    Form1->Image1->Picture->Bitmap->Assign(CapImg1);
    delete CapImg1;
    //cvShowImage(filepath.c_str(),src);
    cvWaitKey(0);
    cvReleaseImage(&src);
    //cvDestroyWindow(filepath.c_str());

---------------下面是一个BMP与IplIamge相互转换的类,来着opencv-------------

使用方法

  • 简要介绍:在windows编程中,很多图片信息,都是基于windows系统所谓的DIB(设备无关位图)的结构,其定义在结构体 BITMAPINFOHEADER 中。本方法可以讲 windows 定义的DIB 结构和Opencv内部定义的IPLImage结构做相互转化。
  • 具体使用方法:将文件 bmp2ipl.h 和 bmp2ipl.cpp 添加到你的代码中。

代码

头文件

//--------------------------------------bmp2ipl.h -----------------------------------

//bmp2ipl.h
#ifndef BMP2IPL_H
#define BMP2IPL_H
 
class BMP {
public:
BMP():bmpData(NULL) {
memset(&biHeader, 0, sizeof(biHeader));
}
BMP(const BMP & img);
BMP(const IplImage &img);
BMP(int width, int height, int bitCount);
~BMP(){ delete [] bmpData; }
 
bool CreateImage(const BITMAPINFOHEADER &biHeader);
 
//Export
IplImage * BMP2Ipl();
//void Show(HWND hWnd, int nID);
//void Show(CDC *pDC,  CRect & rect);
//void Show(HWND hWnd);
 
void ReSize(int newW, int newH);
 
private:
void CopyData(char *dest, const char *src, int dataByteSize,
bool isConvert, int height);
// isConvert=true 进行顶左和底左之间的转换(顶左到底左或底左到顶左),否则不转换
 
// biSizeImage may be set to zero for BI_RGB bitmaps, so calculate it.
int ImgSize() {
return ( biHeader.biHeight * ((biHeader.biWidth * biHeader.biBitCount / 8 + 3) & (-4)));
}
 
public:
void Clear();
BITMAPINFOHEADER biHeader;
unsigned char * bmpData;
};
#endif
//-----------------------------------------------------------

//---------------------------实现文件bmp2ipl.cpp-------------------------------

#include "bmp2ipl.h"
BMP::BMP(const BMP & img)
{
if(!IsSupport(img)) {
BMP();
return;
}
 
//biHeader = img.biHeader;
PBITMAPINFOHEADER  pBmpH = (PBITMAPINFOHEADER)&img.biHeader;
memcpy(&biHeader, pBmpH, sizeof(BITMAPINFOHEADER));
biHeader.biSizeImage = ImgSize();
bool isLowerLeft = biHeader.biHeight>0;
//int rowSize=0;
if(!isLowerLeft)  biHeader.biHeight=-biHeader.biHeight;
 
if(bmpData!=NULL) delete[] bmpData;
bmpData = new unsigned char [biHeader.biSizeImage];
//memcpy(bmpData, img.bmpData, img.biHeader.biSizeImage);
CopyData((char *)bmpData, (char*)img.bmpData, biHeader.biSizeImage,
!isLowerLeft, biHeader.biHeight);
}
 
BMP::BMP(const IplImage &img) {
if(!IsSupport(img)) {
BMP();
return;
}
bool isTopLeft = (img.origin == IPL_ORIGIN_TL);
 
biHeader.biSize = sizeof(BITMAPINFOHEADER);
biHeader.biWidth = img.width;
biHeader.biHeight = img.height;
biHeader.biPlanes = 1;
biHeader.biBitCount = img.depth * img.nChannels;
biHeader.biCompression = BI_RGB;
biHeader.biSizeImage = img.imageSize;
biHeader.biXPelsPerMeter = 0;
biHeader.biYPelsPerMeter = 0;
biHeader.biClrUsed = 0;
biHeader.biClrImportant = 0;
 
if(bmpData!=NULL) delete[] bmpData;
bmpData = new unsigned char [img.imageSize];
//memcpy(bmpData, img.ImageData, img.imageSize);
CopyData((char*)bmpData, (char*)img.imageData, img.imageSize,
isTopLeft, img.height);
/*int i,j;
CvScalar s;
for(i=0;i<img.width;i++)
for(j=0;j<img.height;j++){
s=cvGet2D(&img,i,j);
 
}
*/
}
 
BMP::BMP(int width, int height, int bitCount) {
if(bitCount!=8 && bitCount!=24) return;
 
biHeader.biSize = sizeof(BITMAPINFOHEADER);
biHeader.biWidth = width;
biHeader.biHeight = height;
biHeader.biPlanes = 1;
biHeader.biBitCount = bitCount;
biHeader.biCompression = BI_RGB;
biHeader.biSizeImage = ImgSize();
biHeader.biXPelsPerMeter = 0;
biHeader.biYPelsPerMeter = 0;
biHeader.biClrUsed = 0;
biHeader.biClrImportant = 0;
 
if(bmpData!=NULL) delete[] bmpData;
bmpData = new unsigned char [biHeader.biSizeImage];
Clear();
}
 
// dest:         the destination image
// dataByteSize: the Source image
// height:       source image height
void BMP::CopyData(char *dest, const char *src, int dataByteSize,
bool isConvert, int height) {
char * p = dest;
if(!isConvert) {
memcpy(dest, src, dataByteSize);
return;
}
if(height<=0) return;
//int height = dataByteSize/rowByteSize;
int rowByteSize = dataByteSize / height;
src = src + dataByteSize - rowByteSize ;
for(int i=0; i<height; i++) {
memcpy(dest, src, rowByteSize);
dest += rowByteSize;
src  -= rowByteSize;
}
}
 
IplImage * BMP::BMP2Ipl() {
if(!IsSupport(*this)) return NULL;
 
IplImage *iplImg;
int height;
bool isLowerLeft = biHeader.biHeight>0;
height = (biHeader.biHeight>0) ? biHeader.biHeight : -biHeader.biHeight;
iplImg = cvCreateImage( cvSize(biHeader.biWidth, height), IPL_DEPTH_8U, biHeader.biBitCount / 8);
//iplImg = cvCreateImageHeader( cvSize(biHeader.biWidth, height), IPL_DEPTH_8U, biHeader.biBitCount / 8);
 
//cvSetData(iplImg,(char*)bmpData,biHeader.biSizeImage/height);
CopyData( iplImg->imageData, (char*)bmpData, biHeader.biSizeImage,
isLowerLeft, height);
/*int i,j;
CvScalar s;
int channels=biHeader.biBitCount / 8;
int step=(biHeader.biWidth*channels+3) & -4;
int loc=0;
for(i=0;i<iplImg->height;i++){
for(j=0;j<iplImg->width;j++){
loc=i*step + j*channels;
s.val[0]=bmpData[loc];
if(channels==3){
s.val[1]=bmpData[loc+1];
s.val[2]=bmpData[loc+2];
}
cvSet2D(iplImg,i,j,s);
}
}*/
return iplImg;
}
 
void BMP::Clear() {
if(bmpData == NULL) return;
memset(bmpData, 0, ImgSize());
}
 
void BMP::ReSize(int newW, int newH) {
biHeader.biWidth = newW;
biHeader.biHeight = newH;
biHeader.biSizeImage = ImgSize();
if(bmpData!=NULL) delete[] bmpData;
bmpData = new unsigned char [biHeader.biSizeImage];
Clear();
}
 
bool BMP::CreateImage(const BITMAPINFOHEADER &bih) {
memset(&biHeader,0,sizeof(BITMAPINFOHEADER));
delete[] bmpData;
bmpData = NULL;
 
memcpy(&biHeader, &bih, sizeof(BITMAPINFOHEADER));
biHeader.biSizeImage = ImgSize();
bmpData = new unsigned char [ biHeader.biSizeImage ];
if(bmpData == NULL) return false;
else{
Clear();
return true;
}
}
//-----------------------------------------------------------


转自:http://mxmkeep.blog.163.com/blog/static/106492415200961212557440/
posted on 2009-11-30 19:38 Hali 阅读(2316) 评论(0)  编辑 收藏 引用 所属分类: OpenCV
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