检查此链接http://docs.opencv.org/3.2.0/d1/dee/tutorial_moprh_lines_detection.html http://docs.opencv.org/3.2.0/d1/dee/tutorial_moprh_lines_detection.html并检测水平线。然后,将包含水平线的像素值设置为零。给定的代码是 C++ 语言,但您可以轻松地将其转换为 Python。
您还可以使用线斜率从检测到的线中拒绝水平线。排除所有斜率几乎等于零的线。
以下是您可以使用的代码片段(我根据斜率和形态闭合对您的代码做了一些更改):
import numpy as np
import cv2
gray = cv2.imread('image.png')
edges = cv2.Canny(gray,50,150,apertureSize = 3)
cv2.imwrite('edges-50-150.jpg',edges)
minLineLength=100
lines = cv2.HoughLinesP(image=edges,rho=1,theta=np.pi/180, threshold=100,lines=np.array([]), minLineLength=minLineLength,maxLineGap=80)
a,b,c = lines.shape
for i in range(a):
x = lines[i][0][0] - lines [i][0][2]
y = lines[i][0][1] - lines [i][0][3]
if x!= 0:
if abs(y/x) <1:
cv2.line(gray, (lines[i][0][0], lines[i][0][1]), (lines[i][0][2], lines[i][0][3]), (255, 255, 255), 1, cv2.LINE_AA)
se = cv2.getStructuringElement(cv2.MORPH_ELLIPSE , (3,3))
gray = cv2.morphologyEx(gray, cv2.MORPH_CLOSE, se)
cv2.imwrite('houghlines.jpg', gray)
cv2.imshow('img', gray)
cv2.waitKey(0)
Input:
Output: