自适应中值滤波python代码

以下是自适应中值滤波的Python代码：

import numpy as np
from skimage.morphology import square
from skimage.filters import median

def adaptive_median_filter(img, max_window_size):
    img_out = np.zeros_like(img)
    img_pad = np.pad(img, max_window_size, mode='symmetric')
    for i in range(img.shape[0]):
        for j in range(img.shape[1]):
            window_size = 3
            while window_size <= max_window_size:
                window = img_pad[i:i+window_size, j:j+window_size]
                median_val = np.median(window)
                min_val = np.min(window)
                max_val = np.max(window)
                if min_val < median_val < max_val:
                    img_out[i, j] = median_val
                    break
                else:
                    window_size += 2
                    if window_size > max_window_size:
                        img_out[i, j] = median(img_pad[i:i+3, j:j+3], selem=square(3))
                        break
    return img_out

其中，`adaptive_median_filter`函数接受两个参数：`img`表示输入的图像，`max_window_size`表示最大的窗口大小。该函数返回经过自适应中值滤波后的图像。