使用python OpenCv实现循环中值滤波

import cv2
import numpy as np

def cyclic_median_filter(image, window_size):
    height, width = image.shape
    filtered_image = np.zeros((height, width), dtype=np.uint8)
    half_window = window_size // 2

    for i in range(half_window, height - half_window):
        for j in range(half_window, width - half_window):
            window = image[i - half_window: i + half_window + 1, j - half_window: j + half_window + 1]
            filtered_image[i, j] = np.median(window)

    return filtered_image

# 读取图像
image = cv2.imread('input_image.jpg', 0)  # 以灰度模式读取图像

# 应用循环中值滤波
filtered_image = cyclic_median_filter(image, window_size=3)

# 显示原始图像和滤波后的图像
cv2.imshow('Original Image', image)
cv2.imshow('Filtered Image', filtered_image)
cv2.waitKey(0)
cv2.destroyAllWindows()