C语言|C语言 OpenCV实现柱面投影 C语言OpenCV实现柱面投影

前言
实现代码

针对彩色图像
针对灰度图像

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

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【C语言|C语言 OpenCV实现柱面投影】
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(row, col)[0] = image1.at(i, j)[0]; imgOut.at(row, col)[1] = image1.at(i, j)[1]; imgOut.at(row, col)[2] = image1.at(i, j)[2]; }} } imshow("imgOut", imgOut); waitKey(0); return 0; }

实现效果

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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(row, col) = image1.at(i, j); imgOut2.at(row, col) = image2.at(i, j); //imgOut.at(row, col)[1] = image1.at(i, j)[1]; //imgOut.at(row, col)[2] = image1.at(i, j)[2]; }} } imshow("imgOut1", imgOut1); imshow("imgOut2", imgOut2);

实现效果
原图