c++ - cv::Mat 框架和 SCILAB

Question

我在opencv中有一个框架，我不想使用imwrite（）保存，我使用此代码提取每个通道并保存它，然后打开三个文件并首先组合一个新框架，这里是c ++代码：

  .........
  mean_fb.open("d:\\mean_blue",ios::out);
ostream osb(&mean_fb);
mean_fg.open("d:\\mean_green",ios::out);
ostream osg(&mean_fg);
mean_fr.open("d:\\mean_red",ios::out);
ostream  osr(&mean_fr);
resultframe *= 1.0/255.0; // adjusting the colors of the mean value 
for(int row = 0; row < resultframe.rows; row++) {
    for (int col = 0; col < resultframe.cols; col++) {
    //  std::cout << resultframe.at<cv::Vec3f>(row, col)[1] <<std::endl;
        std::cout << resultframe.at<cv::Vec3f>(row, col)[2] <<std::endl;

        //fwrite(&resultframe.at<cv::Vec3f>(row,col )[0],sizeof(float),1,inpR);
        osr<< resultframe.at<cv::Vec3f>(row, col)[0]<<"\n";
        osg<< resultframe.at<cv::Vec3f>(row, col)[1]<<"\n";
        osb<< resultframe.at<cv::Vec3f>(row, col)[2]<<"\n";
    }
}
 .......

保存的文件是正确的，所以我使用 SCILAB 打开它们，框架是 1920*1080 ，这是 SCILAB 代码：

  clear 
  clc
  stacksize('max');
  cd 'd:\'
  width = 1080;
  height =1920 ;
  im = zeros(width, height);
     // read the  values of the red channel  

   red  = mgetl('mean_red'); // read the file as  
   red  = matrix(red,[width, height]);
   red  = strtod(red);
   im(:,:,3) = red;//  because opencv defaullt color Model is BGR 
   clear red;  // clear red to get enough stack 



  // read the  values of the green channel  

 green  = mgetl('mean_green'); // read the file as 
 green  = matrix(green,[width,height]);
 green  = strtod(green);
 im(:,:,2) = green;
  clear green;


   // read the  values of the blue channel  

  blue  = mgetl(mean_blue'); // read the file as 
  blue  = matrix(blue,[width, height]);
  blue  = strtod(blue);
  im(:,:,1) =blue ; 
  clear blue;


 imshow(im);/////////////////////////////////////////

这是我得到的条纹图像的一部分：感谢您的帮助

Answer 1

看来您的宽度和高度参数颠倒了。图像可能被转置。

Answer 2

在 Ted W 的建议之后，我想也许我不得不在 SCILAB 中而是在 c++ 中切换宽度和高度，这很有效，所以如果有人需要，这里是代码：

mean_fb.open("d:\\mean_blue",ios::out);
ostream osb(&mean_fb);
mean_fg.open("d:\\mean_green",ios::out);
ostream osg(&mean_fg);
mean_fr.open("d:\\mean_red",ios::out);
ostream  osr(&mean_fr);
  adjusting the colors of the mean value 
for (int col = 0; col < resultframe.cols; col++) {
    for(int row = 0; row < resultframe.rows; row++) {
    //  std::cout << resultframe.at<cv::Vec3f>(row, col)[1] <<std::endl;
        std::cout << resultframe.at<cv::Vec3f>(row, col)[2] <<std::endl;

        //fwrite(&resultframe.at<cv::Vec3f>(row,col )[0],sizeof(float),1,inpR);
        osb<< resultframe.at<cv::Vec3f>(row, col)[0]<<"\n";
        osg<< resultframe.at<cv::Vec3f>(row, col)[1]<<"\n";
        osr<< resultframe.at<cv::Vec3f>(row, col)[2]<<"\n";
    }
}
mean_fb.close();
mean_fr.close();
mean_fg.close();


std_fb.open("d:\\std_blue",ios::out);
ostream std_osb(&std_fb);
std_fg.open("d:\\std_green",ios::out);
ostream std_osg(&std_fg);
std_fr.open("d:\\std_red",ios::out);
ostream  std_osr(&std_fr);

for (int col = 0; col < deviationframe.cols; col++)   {
    for(int row = 0; row < deviationframe.rows; row++) {

        std::cout << deviationframe.at<cv::Vec3f>(row, col)[2] <<std::endl;
        std_osb<< deviationframe.at<cv::Vec3f>(row, col)[0]<<"\n";
        std_osg<< deviationframe.at<cv::Vec3f>(row, col)[1]<<"\n";
        std_osr<< deviationframe.at<cv::Vec3f>(row, col)[2]<<"\n";
    }
}
std_fb.close();
std_fr.close();
std_fg.close();