opencv第4讲--遍历图像中的每一个像素

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void QuickDemo::pixel_visit_demo(Mat& image) {     int w = image.cols;      //获得图像的宽     int h = image.rows;      //获得图像的高       int dims = image.channels();  //获得图像通道的数量       //for (int row = 0; row < h; row++)     //{     //  for (int col = 0; col < w; col++)     //  {     //      if (dims == 1)   //灰度图像     //      {     //          int pv = image.at<uchar>(row, col);   //获得像素数值       //          image.at<uchar>(row, col) = 255 - pv;  //重新赋值     //      }     //      else             //彩色图像     //      {     //          Vec3b bgr = image.at<Vec3b>(row, col);     //          image.at<Vec3b>(row, col)[0] = 255 - bgr[0];     //          image.at<Vec3b>(row, col)[1] = 255 - bgr[1];     //          image.at<Vec3b>(row, col)[2] = 255 - bgr[2];     //      }     //  }     //}       for (int row = 0; row < h; row++)     {         uchar* current_row = image.ptr<uchar>(row);    //获取当前行的指针         for (int col = 0; col < w; col++)         {             if (dims == 1)   //灰度图像,一个通道             {                 int pv = *current_row;   //获得像素数值                   *current_row++ = 255 - pv;  //重新赋值             }             else             //彩色图像， 三个通道             {                 *current_row++ = 255 - *current_row;                 *current_row++ = 255 - *current_row;                 *current_row++ = 255 - *current_row;             }         }     }           imshow("像素读写演示", image); }