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Divers/tutoriel37/lbp_hist.py

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