使用openCV python查找骨架和边界之间的距离

import cv2
import numpy as np

image = cv2.imread('image.jpg', 0)  # 读取灰度图像
_, threshold = cv2.threshold(image, 127, 255, cv2.THRESH_BINARY)  # 二值化处理

skeleton = np.zeros(image.shape, np.uint8)  # 创建与原图像相同大小的空图像
element = cv2.getStructuringElement(cv2.MORPH_CROSS, (3, 3))  # 创建结构元素
done = False

while not done:
    eroded = cv2.erode(threshold, element)  # 腐蚀操作
    temp = cv2.dilate(eroded, element)  # 膨胀操作
    temp = cv2.subtract(threshold, temp)  # 相减操作
    skeleton = cv2.bitwise_or(skeleton, temp)  # 按位或操作
    threshold = eroded.copy()  # 更新二值图像

    zeros = image.size - cv2.countNonZero(threshold)  # 统计二值图像中的零像素个数
    if zeros == image.size:
        done = True

contours, _ = cv2.findContours(threshold, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)  # 查找轮廓
boundary = max(contours, key=cv2.contourArea)  # 获取最大轮廓

cv2.drawContours(image, [boundary], -1, (0, 255, 0), 2)  # 绘制边界轮廓

distance = cv2.pointPolygonTest(boundary, (x, y), True)  # 计算点到轮廓的距离