OpenCv:IplImage，Mat和Qt:QImage之间的快速转换

最新推荐文章于 2021-05-10 18:10:14 发布

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最新推荐文章于 2021-05-10 18:10:14 发布

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本文详细介绍了如何在OpenCV的IplImage、Mat数据结构与Qt的QImage之间进行快速转换，这对于在OpenCV处理图像并将其显示在Qt界面上至关重要。通过理解并应用这些转换方法，开发者能够更有效地整合OpenCV的图像处理功能和Qt的图形界面。

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  //QImage->IplImage *
 
  static 
  IplImage *ConvertToIplImage(
  const 
  QImage &img)
 
  {
 
  int 
  nChannel=0;
 
  if
  (img.format()==QImage::Format_RGB888)nChannel=3;
 
  if
  (img.format()==QImage::Format_ARGB32)nChannel=4;
 
  if
  ( nChannel==0 )
  return 
  false
  ;
 
  IplImage *iplImg=cvCreateImageHeader( cvSize(img.width(), img.height()),8,nChannel );
 
  iplImg->imageData=(
  char
  *)img.bits();
 
  if
  (nChannel==3)
 
  cvConvertImage(iplImg,iplImg,CV_CVTIMG_SWAP_RB);
 
  return 
  iplImg;
 
  }
 
  //Mat->QImage
 
  static 
  QImage ConvertToQImage(cv::Mat &mat)
 
  {
 
  QImage img;
 
  int 
  nChannel=mat.channels();
 
  if
  (nChannel==3)
 
  {
 
  cv::cvtColor(mat,mat,CV_BGR2RGB);
 
  img = QImage((
  const 
  unsigned 
  char
  *)mat.data,mat.cols,mat.rows,QImage::Format_RGB888);
 
  }
 
  else 
  if
  (nChannel==4||nChannel==1)
 
  {
 
  img = QImage((
  const 
  unsigned 
  char
  *)mat.data,mat.cols,mat.rows,QImage::Format_ARGB32);
 
  }
 
  return 
  img;
 
  }
 
  //IplImage *->QImage 
 
  static 
  QImage ConvertToQImage(IplImage *iplImg)
 
  {
 
  QImage img;
 
  int 
  nChannel=iplImg->nChannels;
 
  if
  (nChannel==3)
 
  {
 
  cvConvertImage(iplImg,iplImg,CV_CVTIMG_SWAP_RB);
 
  img = QImage((
  const 
  unsigned 
  char
  *)iplImg->imageData,iplImg->width,iplImg->height,QImage::Format_RGB888);
 
  }
 
  else 
  if
  (nChannel==4||nChannel==1)
 
  {
 
  img = QImage((
  const 
  unsigned 
  char
  *)iplImg->imageData,iplImg->width,iplImg->height,QImage::Format_ARGB32);
 
  }
 
  return 
  img;
 
  }
 
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