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31 lines
919 B
31 lines
919 B
# 导入numpy包
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import numpy as np
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# 导入opencv包
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import cv2
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import math
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def mf(image_path):
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# 使用opencv读取图片
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image = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
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# 待输出的图片
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output = np.zeros(image.shape, np.uint8)
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# 遍历图像，进行均值滤波
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for i in range(image.shape[0]):
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for j in range(image.shape[1]):
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# 计算均值,完成对图片src的几何均值滤波
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ji = 1.0
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# 遍历滤波器内的像素值
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total = 1
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for x in range(-1, 2):
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if i + x >= 0 and i + x < image.shape[0]:
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total *= image[i + x, j]
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# 计算滤波后的像素值
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output[i, j] = np.uint8(np.power(total, 1 / 3))
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# 滤波器的大小为1*3
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cv2.imshow('result', output)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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