import cv2 import numpy as np

读取图像

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

二值化处理

ret, thresh = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY)

轮廓检测

contours, hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

轮廓特征筛选

for i in range(len(contours)): # 计算轮廓面积和周长 area = cv2.contourArea(contours[i]) perimeter = cv2.arcLength(contours[i], True) # 计算轮廓的凸包面积 hull = cv2.convexHull(contours[i]) hull_area = cv2.contourArea(hull) # 计算轮廓的方向角度 (x, y), (MA, ma), angle = cv2.fitEllipse(contours[i]) # 筛选条件 if area > 100 and perimeter > 100 and hull_area / area > 0.8 and angle < 30: # 标出轮廓编号 cv2.putText(img, str(i+1), tuple(contours[i][0][0]), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2) # 填充第一个轮廓 if i == 0: cv2.drawContours(img, [contours[i]], -1, (127, 127, 127), -1)

显示结果

cv2.imshow('img', img) cv2.waitKey(0) cv2.destroyAllWindows()