2025-04-12 21:33:11 +08:00
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import cv2
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import matplotlib.pyplot as plt
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plt.rcParams['font.sans-serif'] = ['simHei']
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plt.rcParams['axes.unicode_minus'] = False
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from contraharmonic_mean_filter import contraharmonic_mean_filter
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2025-04-13 12:24:41 +08:00
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2025-04-12 21:33:11 +08:00
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#读取照片
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image_pepper = cv2.imread("file/circuitboard-pepper.tif", cv2.IMREAD_GRAYSCALE)
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image_salt = cv2.imread("file/circuitboard-salt.tif", cv2.IMREAD_GRAYSCALE)
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#反谐波均值滤波_胡椒噪声
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kernel_size_pepper = 3 #核的大小
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Q_pepper = 1.5 #滤波器阶数
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image_pepper2 = contraharmonic_mean_filter(image_pepper,kernel_size_pepper,Q_pepper)
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#反谐波均值滤波_盐噪声
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kernel_size_salt = 3 #核的大小
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Q_salt = -1.5 #滤波器阶数
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image_salt2 = contraharmonic_mean_filter(image_salt,kernel_size_salt,Q_salt)
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plt.subplot(2,2,1)
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plt.imshow(image_pepper, cmap='gray')
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plt.title('2.胡椒噪声')
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plt.axis('off')
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plt.subplot(2,2,2)
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plt.imshow(image_pepper2, cmap='gray')
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plt.title('2.反谐波均值滤波_胡椒噪声')
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plt.axis('off')
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plt.subplot(2,2,3)
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plt.imshow(image_salt, cmap='gray')
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plt.title('2.盐噪声')
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plt.axis('off')
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plt.subplot(2,2,4)
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plt.imshow(image_salt2, cmap='gray')
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plt.title('2.反谐波均值滤波_盐噪声')
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plt.axis('off')
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plt.tight_layout()
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plt.show()
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