C语言 OpenCV实现柱面投影

前言

在做全景拼接的时候，为了保持图片中的空间约束与视觉的一致性，需要进行柱面投影，否则离中心图像距离越远的图像拼接后变形越大。

柱面投影公式为

实现代码

针对彩色图像

int main()
{
	cv::mat image1 = cv::imread("images/1.jpg", 1);
	if (!image1.data)
		return 0;
	imshow("image1", image1);
 
	mat imgout = mat(image1.rows, image1.cols, cv_8uc3);
	float w = image1.cols;
	float h = image1.rows;
	float f = (w / 2) / atan(pi / 8);
 
	for (int i = 0; i < image1.rows; i++)
	{
		for (int j = 0; j < image1.cols; j++)
		{
			float x = j;
			float y = i;
			float x1 = f * atan((x - w / 2) / f) + f * atan(w / (2.0f * f));
			float y1 = f * (y - h / 2.0f) / sqrt((x - w / 2.0f) * (x - w / 2.0f) + f * f) + h / 2.0f;
 
			int col = (int)(x1 + 0.5f);//加0.5是为了四舍五入
			int row = (int)(y1 + 0.5f);//加0.5是为了四舍五入
 
			if (col < image1.cols && row < image1.rows)
			{
				imgout.at<vec3b>(row, col)[0] = image1.at<vec3b>(i, j)[0];
				imgout.at<vec3b>(row, col)[1] = image1.at<vec3b>(i, j)[1];
				imgout.at<vec3b>(row, col)[2] = image1.at<vec3b>(i, j)[2];
			}
		}
	}
 
	imshow("imgout", imgout);
 
	waitkey(0);
	return 0;
}

实现效果

针对灰度图像

cv::mat image1 = cv::imread("e:\\zcb_work\\2113\\pic2\\k.jpg", 0);
	if (!image1.data)
		return 0;
	imshow("image1", image1);

	cv::mat image2 = cv::imread("e:\\zcb_work\\2113\\pic2\\j.jpg", 0);
	if (!image2.data)
		return 0;
	imshow("image2", image2);

 	mat imgout1 = mat(image1.rows, image1.cols, cv_8uc1);
	imgout1.setto(0);
	mat imgout2 = mat(image2.rows, image2.cols, cv_8uc1);
	imgout2.setto(0);
	
	float w = image1.cols;
	float h = image1.rows;
	float f = (w / 2) / atan(pi / 8);
 
	for (int i = 0; i < image1.rows; i++)
	{
		for (int j = 0; j < image1.cols; j++)
		{
			float x = j;
			float y = i;
			float x1 = f * atan((x - w / 2) / f) + f * atan(w / (2.0f * f));
			float y1 = f * (y - h / 2.0f) / sqrt((x - w / 2.0f) * (x - w / 2.0f) + f * f) + h / 2.0f;
 
			int col = (int)(x1 + 0.5f);//加0.5是为了四舍五入
			int row = (int)(y1 + 0.5f);//加0.5是为了四舍五入
 
			if (col < image1.cols && row < image1.rows)
			{
				imgout1.at<uchar>(row, col) = image1.at<uchar>(i, j);
				imgout2.at<uchar>(row, col) = image2.at<uchar>(i, j);
				//imgout.at<vec3b>(row, col)[1] = image1.at<vec3b>(i, j)[1];
				//imgout.at<vec3b>(row, col)[2] = image1.at<vec3b>(i, j)[2];
			}
		}
	}
 
	imshow("imgout1", imgout1);
	imshow("imgout2", imgout2);

实现效果

原图

柱面投影

用surf算法，特征检测，

合成这样，呵呵呵，

 

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