OpenCV -使用凸包和自适应阈值在手指上绘制轮廓

import cv2
import numpy as np

image = cv2.imread("image.jpg")
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(gray, (5, 5), 0)

thresh = cv2.adaptiveThreshold(blur, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY_INV, 11, 4)

kernel = np.ones((3, 3), np.uint8)
dilated = cv2.dilate(thresh, kernel, iterations=2)
eroded = cv2.erode(dilated, kernel, iterations=1)

contours, hierarchy = cv2.findContours(eroded, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cv2.drawContours(image, contours, -1, (0, 255, 0), 2)

for contour in contours:
    hull = cv2.convexHull(contour)
    cv2.drawContours(image, [hull], -1, (0, 0, 255), 2)

cv2.imshow("Contours", image)
cv2.waitKey(0)
cv2.destroyAllWindows()