28 lines
642 B
Python
28 lines
642 B
Python
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from skimage import feature
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import matplotlib.pyplot as plt
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import numpy as np
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import cv2
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import glob
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numPoints=8
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radius=3
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textures=['gazon', 'gravier', 'bois']
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for texture in textures:
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print(">>>", "{}.jpg".format(texture))
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image=cv2.imread("{}.jpg".format(texture), 0)
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if image is None:
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quit("Probleme image...")
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lbp=feature.local_binary_pattern(image, numPoints, radius, method='default')
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hist_ref, _=np.histogram(lbp, bins=2**numPoints, range=(0, 2**numPoints))
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cv2.imshow("Image", image)
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cv2.imshow("LBP", lbp)
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plt.plot(hist_ref)
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plt.show()
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key=cv2.waitKey(1)&0xFF
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if key==ord('q'):
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quit()
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