C语言 OpenCV实现柱面投影
作者:rjszcb
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。本文将具体介绍一下这如何实现,需要的可以参考一下
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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