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，
以上就是C语言 OpenCV实现柱面投影的详细内容，更多关于C语言 OpenCV柱面投影的资料请关注编程网其它相关文章！
