在python中从opencv中分离多个canny边缘检测的坐标

import cv2
import numpy as np

image = cv2.imread('image.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

blurred = cv2.GaussianBlur(gray, (5, 5), 0)

edges = cv2.Canny(blurred, threshold1, threshold2)

contours, _ = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

for contour in contours:
    x, y, w, h = cv2.boundingRect(contour)
    # 在这里可以对坐标进行处理或使用
    # 例如，可以打印坐标信息
    print("Contour coordinates: x={}, y={}, width={}, height={}".format(x, y, w, h))