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50
2_Bildbearbeitung/ü2/l_a.py
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50
2_Bildbearbeitung/ü2/l_a.py
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import numpy as np
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import cv2
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''' Einlesen des Bildes '''
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I_in = [
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[200, 200, 100, 200, 200],
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[200, 200, 100, 200, 200],
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[100, 100, 100, 100, 100],
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[200, 200, 100, 200, 200],
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[200, 200, 100, 200, 200],
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]
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I_in = np.asarray(I_in, dtype="uint8")
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print("Bild vor der Bearbeitung:")
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print(I_in)
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print()
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print(I_in.dtype)
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''' Operation 1: Kantenfilter '''
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edge = [
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[-1, -1, -1],
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[ 0, 0, 0],
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[ 1, 1, 1]
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]
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edge = np.asarray(edge)
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edge_conv = np.flip(edge)
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I_in = cv2.filter2D(I_in, cv2.CV_64F, edge_conv, borderType=cv2.BORDER_REPLICATE)
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print("Operation 1: Kantenfilter")
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print(I_in)
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print()
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''' Operation 2: Absolutwertbildung '''
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I_in = np.abs(I_in)
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print("Operation 2: Absolutwertbildung")
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print(I_in)
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print()
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''' Operation 3: Medianfilter'''
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I_in = cv2.medianBlur(I_in.astype("float32"), 3)
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print("Operation 3: Medianfilter")
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print(I_in)
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print()
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''' Operation 4: Schwellwert '''
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I_in = np.copy(I_in)
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ret, I_out = cv2.threshold(I_in, 127, 255, cv2.THRESH_BINARY)
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print("Operation 4: Schwellwert")
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print(I_out)
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print()
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