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[英]How can I specify the color of the kmeans clusters in 3D plot (Pandas)?
[英]How can I change the color of kmeans clusters in image segmentation
我嘗試使用 kmeans 聚類執行圖像分割。
我想控制類的顏色。我該怎么做?
# convert to np.float32
Z = np.float32(Z)
# define criteria, number of clusters(K) and apply kmeans()
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 10, 1.0)
K = 2
ret,label,center=cv2.kmeans(Z,K,None,criteria,10,cv2.KMEANS_RANDOM_CENTERS)
# Now convert back into uint8, and make original image
center = np.uint8(center)
res = center[label.flatten()]
res2 = res.reshape((img.shape))
#cv2.imshow('res2',res2)
#cv2.waitKey(0)
#cv2.destroyAllWindows()
Image.fromarray(res2).save(f + 'kmeans.png', "png", quality=100)
kmean()
我不知道你想用 2 個中心控制什么。
如果你想獲得二進制 map,你可以按照這里:
# convert to np.float32
Z = np.float32(Z)
# define criteria, number of clusters(K) and apply kmeans()
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 10, 1.0)
K = 2
ret,label,center=cv2.kmeans(Z,K,None,criteria,10,cv2.KMEANS_RANDOM_CENTERS)
# get the most popular color and specify it is black
black_color = np.argmax(np.bincount(label.flatten()))
# generate binary map with white color
center = np.ones((K,1), dtype = 'uint8') * 255
center[black_color] = [0]
res = center[label.flatten()]
res2 = res.reshape((image_text.shape[0], image_text.shape[1], 1))
return res2
你可以改變任何你想要的顏色,而不僅僅是白色和黑色。 希望能幫到你
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