7、C++版本图像畸变校正

最新推荐文章于 2023-03-30 11:40:36 发布

马鸣泽

最新推荐文章于 2023-03-30 11:40:36 发布

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本文介绍了一段C++代码，该代码用于处理图像，包括读取图像数据、进行透视变换以校正图像，并保存处理后的图像。此外，还涉及了图像类型判断和数据拷贝等基本操作。

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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<Point2f> 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<float>(m_camera_width), 0), Point2f(static_cast<float>(m_camera_width), static_cast<float>(m_camera_height)), Point2f(0, static_cast<float>(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<Mat> 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;
}