说明

本程序实现去畸变部分的代码。尽管我们可以调用OpenCV的去畸变，但自己实现一遍有助于理解。

关键代码

// 本程序实现去畸变部分的代码。尽管我们可以调用OpenCV的去畸变，但自己实现一遍有助于理解。// 畸变参数double k1 = -0.28340811, k2 = 0.07395907, p1 = 0.00019359, p2 = 1.76187114e-05;// 内参double fx = 458.654, fy = 457.296, cx = 367.215, cy = 248.375;cv::Mat image = cv::imread(image_file, 0);   // 图像是灰度图，CV_8UC1int rows = image.rows, cols = image.cols;cv::Mat image_undistort = cv::Mat(rows, cols, CV_8UC1);   // 去畸变以后的图// 计算去畸变后图像的内容for (int v = 0; v < rows; v++) {for (int u = 0; u < cols; u++) {// 按照公式，计算点(u,v)对应到畸变图像中的坐标(u_distorted, v_distorted)double x = (u - cx) / fx, y = (v - cy) / fy;double r = sqrt(x * x + y * y);double x_distorted = x * (1 + k1 * r * r + k2 * r * r * r * r) + 2 * p1 * x * y + p2 * (r * r + 2 * x * x);double y_distorted = y * (1 + k1 * r * r + k2 * r * r * r * r) + p1 * (r * r + 2 * y * y) + 2 * p2 * x * y;double u_distorted = fx * x_distorted + cx;double v_distorted = fy * y_distorted + cy;// 赋值 (最近邻插值)if (u_distorted >= 0 && v_distorted >= 0 && u_distorted < cols && v_distorted < rows) {image_undistort.at<uchar>(v, u) = image.at<uchar>((int) v_distorted, (int) u_distorted);} else {image_undistort.at<uchar>(v, u) = 0;}}}