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当使用python验证了原理，同时获取了校正的角点参数，则可以直接使用C++代码对图像处理，

int process_image(unsigned char *imgBuffer, int width, int height, int channels, char* file_name){	int type = 0;	if (channels == 3) {		type = CV_8UC3;	}	else  if (channels == 1) {		type = CV_8UC1;	}	Mat image_src = Mat(height, width, type);	memcpy(image_src.data, imgBuffer, width* height*channels);		//vector
   
     src_corner;	//src_corner.push_back(Point2f(0, 190));	//Point2f src_corner[4] = { Point2f(0, 190), Point2f(800, 200), Point2f(590, 460), Point2f(205, 460) };	if (src_corner[2].y < 100)	{		if (read_config() != 0)		{			return -2;		}	}	// TL BL BR BL 	Point2f dst_corner[4] = { Point2f(0, 0), Point2f(static_cast
    
     (m_camera_width), 0), Point2f(static_cast
     
      (m_camera_width), static_cast
      
       (m_camera_height)), Point2f(0, static_cast
       
        (m_camera_height)) };	Mat result_image;	Mat warp_mat = getPerspectiveTransform(src_corner, dst_corner);	warpPerspective(image_src, result_image, warp_mat, Size(m_camera_width, m_camera_height));	//string save_file_name = get_date_time_string()+".bmp";	//strcpy_s(file_name, sizeof(save_file_name), save_file_name.c_str());	string save_file_name = file_name;	//Mat normalize_image;	//normalize(result_image, normalize_image, 255, 0, NORM_MINMAX);	//Mat equal_image;	//Mat blur_image;	//Mat Median_image;	//Mat bilate_image;	//vector
        
          splitRGB(result_image.channels()); //cv::split(normalize_image, splitRGB); //for (auto i = 0; i < result_image.channels(); i++) { // equalizeHist(splitRGB[i], splitRGB[i]); //} //Mat mergeImage; //merge(splitRGB, mergeImage); //mergeImage.copyTo(equal_image); //equal_image.convertTo(blur_image, -1, 1.5, 150); //Mat dstImage; //normalize_image.convertTo(dstImage, -1, 1.15,50); //draw_for_test(result_image); imwrite(save_file_name, result_image); return 0;}
        
       
      
     
    
   

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