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opencv logo原图 VS 骨架化效果图如下：
# 图像骨架化~
import cv2
import imutils
import numpy as np
img = np.zeros((390, 390, 3), dtype="uint8")
cv2.putText(img, "Beautiful Girl.....", (50, 190), cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 255, 255), 3)
cv2.imshow("img", img)
cv2.waitKey(0)
cv2.imwrite("j.jpg", img)
# 骨架图依赖灰度图
# 灰度图转换法一
img = cv2.imread('opencv_logo.jpg') # 读取为BGR图
cv2.imshow("origin", img)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # BGR图转换灰度图
# 灰度图转换二
gray = cv2.imread('opencv_logo.jpg', 0) # 直接读取为灰度图
cv2.imshow("gray", gray)
# 骨架化图像
skeleton = imutils.skeletonize(gray, size=(3, 3))
cv2.imshow("Skeleton", skeleton)
cv2.waitKey(0)
参考：
https://www.pyimagesearch.com/2015/02/02/just-open-sourced-personal-imutils-package-series-opencv-convenience-functions/
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