Matlab用迭代法计算示例图片cell、circuit、Lena分割阈值并分割图像
时间: 2024-02-03 15:01:48 浏览: 21
好的,我可以为您提供一些Matlab用迭代法计算示例图片cell、circuit、Lena分割阈值并分割图像的代码。
首先,我们需要读取图像:
```matlab
% 读取图像
cell_img = imread('cell.png');
circuit_img = imread('circuit.png');
lena_img = imread('lena.png');
```
然后,我们可以使用Otsu方法来确定分割阈值:
```matlab
% 计算Otsu阈值
cell_thresh = graythresh(cell_img);
circuit_thresh = graythresh(circuit_img);
lena_thresh = graythresh(lena_img);
```
接下来,我们可以使用迭代法来计算分割阈值:
```matlab
% 迭代法计算阈值
cell_thresh_iter = iter_threshold(cell_img);
circuit_thresh_iter = iter_threshold(circuit_img);
lena_thresh_iter = iter_threshold(lena_img);
```
其中,`iter_threshold`函数的实现如下:
```matlab
function thresh = iter_threshold(img)
% 初始化阈值
thresh = 0.5;
% 迭代计算阈值
for i = 1:10
% 计算前景和背景的均值
fg_mean = mean(img(img > thresh));
bg_mean = mean(img(img <= thresh));
% 更新阈值
thresh = (fg_mean + bg_mean) / 2;
end
end
```
最后,我们可以使用分割阈值来分割图像:
```matlab
% 使用阈值分割图像
cell_seg = imbinarize(cell_img, cell_thresh_iter);
circuit_seg = imbinarize(circuit_img, circuit_thresh_iter);
lena_seg = imbinarize(lena_img, lena_thresh_iter);
% 显示分割结果
figure;
subplot(2, 2, 1);
imshow(cell_img);
title('Cell原图');
subplot(2, 2, 2);
imshow(cell_seg);
title('Cell分割结果');
subplot(2, 2, 3);
imshow(circuit_img);
title('Circuit原图');
subplot(2, 2, 4);
imshow(circuit_seg);
title('Circuit分割结果');
figure;
subplot(2, 2, 1);
imshow(lena_img);
title('Lena原图');
subplot(2, 2, 2);
imshow(lena_seg);
title('Lena分割结果');
```
以上就是Matlab用迭代法计算示例图片cell、circuit、Lena分割阈值并分割图像的完整代码。希望能对您有所帮助!