恢复鱼眼镜头图像matlab

恢复鱼眼镜头图像需要进行几何校正和畸变矫正。这里提供一种基于 MATLAB 的方法：

1. 首先，加载鱼眼镜头图像并将其转换为灰度图像。

I = imread('fish_eye_image.jpg');
I_gray = rgb2gray(I);

2. 接着，使用 `detectSURFFeatures` 函数检测关键点并进行特征提取。

points = detectSURFFeatures(I_gray);
[features, valid_points] = extractFeatures(I_gray, points);

3. 然后，使用 `estimateGeometricTransform` 函数计算仿射变换矩阵和矫正图像。

[tform, inlierPtsDistorted, inlierPtsOriginal] = estimateGeometricTransform(valid_points, points.Location, 'affine');
outputView = imref2d(size(I_gray));
I_corrected = imwarp(I_gray, tform, 'OutputView', outputView);

4. 最后，使用 `undistortImage` 函数进行畸变矫正。

I_undistorted = undistortImage(I_corrected, cameraParams);

其中，`cameraParams` 是相机参数，可以使用 `cameraCalibrator` 函数进行标定。

完整代码如下所示：

% Load fish-eye image
I = imread('fish_eye_image.jpg');

% Convert to grayscale
I_gray = rgb2gray(I);

% Detect SURF features
points = detectSURFFeatures(I_gray);
[features, valid_points] = extractFeatures(I_gray, points);

% Estimate affine transformation matrix
[tform, inlierPtsDistorted, inlierPtsOriginal] = estimateGeometricTransform(valid_points, points.Location, 'affine');
outputView = imref2d(size(I_gray));

% Apply affine transformation
I_corrected = imwarp(I_gray, tform, 'OutputView', outputView);

% Undistort image
cameraParams = load('cameraParams.mat');
I_undistorted = undistortImage(I_corrected, cameraParams);

% Display results
figure;
subplot(1,3,1);
imshow(I);
title('Original Image');
subplot(1,3,2);
imshow(I_corrected);
title('Corrected Image');
subplot(1,3,3);
imshow(I_undistorted);
title('Undistorted Image');