1 import cv2
2 import numpy as np
3 import matplotlib.pyplot as plt
4
5 # 读取图像并转换为灰度图像
6 image = cv2.imread('./a.jpg')
7 gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
8
9 # 使用 Canny 边缘检测
10 edges = cv2.Canny(gray, 0, 200) # 调整阈值参数
11
12 # 寻找轮廓
13 contours, _ = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
14
15 # 过滤出长宽大于150的轮廓
16 filtered_contours = [contour for contour in contours if cv2.boundingRect(contour)[2] > 110 and cv2.boundingRect(contour)[3] > 110]
17
18 # 对轮廓按面积进行排序
19 sorted_contours = sorted(filtered_contours, key=cv2.contourArea, reverse=True)[:10] # 只保留最大的五个轮廓
20
21 # 绘制矩形轮廓
22 for contour in sorted_contours:
23 x, y, w, h = cv2.boundingRect(contour)
24 cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
25
26 # 将轮廓内的区域更改为背景颜色
27 i = 1
28 for contour in sorted_contours:
29 x, y, w, h = cv2.boundingRect(contour)
30 cropped_image = image[y:y+h, x:x+w]
31 # 保存裁剪后的图片
32 cv2.imwrite(str(i)+'.jpg', cropped_image)
33 i+=1
34
35 # 显示结果
36 plt.imshow(image[:,:,::-1])
标签：boundingRect,Python,image,cv2,OpenCV,contours,sorted,contour,图片 From： https://www.cnblogs.com/watermeloncode/p/17936171.html