matlab医学图像处理经典代码
时间: 2023-08-26 07:16:19 浏览: 96
在医学图像处理中,以下是一些经典的 MATLAB 代码示例:
1. 图像增强:
```matlab
img = imread('medical_image.jpg');
enhanced_img = imadjust(img);
imshow(enhanced_img);
```
2. 骨骼提取:
```matlab
binary_img = imbinarize(img);
skeleton_img = bwmorph(binary_img, 'skel', Inf);
imshow(skeleton_img);
```
3. 医学图像分割(基于阈值):
```matlab
threshold = graythresh(img);
binary_img = imbinarize(img, threshold);
segmented_img = img .* binary_img;
imshow(segmented_img);
```
4. 医学图像分割(基于区域生长):
```matlab
seed_row = 100;
seed_col = 150;
threshold = 20;
segmented_img = regiongrowing(img, seed_row, seed_col, threshold);
imshow(segmented_img);
```
5. 医学图像配准:
```matlab
fixed_img = imread('fixed_image.jpg');
moving_img = imread('moving_image.jpg');
[optimizer, metric] = imregconfig('monomodal');
registered_img = imregister(moving_img, fixed_img, 'affine', optimizer, metric);
imshowpair(fixed_img, registered_img, 'montage');
```
这些是一些常见的医学图像处理操作的经典代码示例。根据具体的需求和问题,可能会有更多不同的代码实现。请注意,在实际应用中,还需要考虑图像预处理、噪声去除、特征提取等步骤。