# 圖像骨架化~
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)
# 骨架圖依賴灰度圖
# 灰度圖轉換法一
img = cv2.imread('opencv_logo.jpg') # 讀取為BGR圖
cv2.imshow("origin", img)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) # BGR圖轉換灰度圖
# 灰度圖轉換二
gray = cv2.imread('opencv_logo.jpg', 0) # 直接讀取為灰度圖
cv2.imshow("gray", gray)
# 骨架化圖像
skeleton = imutils.skeletonize(gray, size=(3, 3))
cv2.imshow("Skeleton", skeleton)
cv2.waitKey(0)
https://www.pyimagesearch.com/2015/02/02/just-open-sourced-personal-imutils-package-series-opencv-convenience-functions/
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