Python+Opencv实现表格边框线检测

pip install numpy 
pip install opencv-python==4.5.5.64
pip install opencv-python install "opencv-python-headless<4.3"

import numpy as np
import cv2

# 加载图片
img = cv2.imread(r'E:\test1.png') # 注意路径中不能有中文

# 转为灰度图
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# 进行边缘检测
edges = cv2.Canny(gray, 50, 150, apertureSize=3)

# 进行霍夫变换，提取直线
lines = cv2.HoughLinesP(edges, 1, np.pi/180, threshold=100, minLineLength=100, maxLineGap=10)

# 统计直线数量，判断是否有表格
if len(lines) > 10:
    print('图片中有表格')
else:
    print('图片中没有表格')

import numpy as np
import cv2

# 加载图片
img = cv2.imread(r'E:\test1.png') # 注意路径中不能有中文

# 转为灰度图
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# 进行边缘检测
edges = cv2.Canny(gray, 50, 150, apertureSize=3)

# 进行霍夫变换，提取直线
lines = cv2.HoughLinesP(edges, 1, np.pi/180, threshold=100, minLineLength=100, maxLineGap=10)

# 绘制直线
for line in lines:
    x1, y1, x2, y2 = line[0]
    cv2.line(img, (x1, y1), (x2, y2), (0, 255, 0), 2)

# 显示结果图片
cv2.imshow('result', img)
cv2.waitKey(0)
cv2.destroyAllWindows()