25 lines
595 B
Python
25 lines
595 B
Python
import cv2
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import numpy as np
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img = cv2.imread("../../data/lena.png")
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img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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''' Rauschen hinzufügen '''
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h, w = img.shape
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saltpepper_noise = np.zeros((h, w), dtype=np.uint8)
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saltpepper_noise = cv2.randu(saltpepper_noise, 0, 255)
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black = saltpepper_noise < 15
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white = saltpepper_noise > 240
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img[white] = 255
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img[black] = 0
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cv2.imshow("img", img)
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''' Median Filter anwenden '''
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sizes = [3, 5, 9]
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for kernel_size in sizes:
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img_filtered = cv2.medianBlur(img, kernel_size)
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cv2.imshow("img_filtered_" + str(kernel_size), img_filtered)
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cv2. waitKey()
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