Delete Segmented Lines (opencv, Python)

Given the followig code: 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) minLine

Solution 1:

Check this link http://docs.opencv.org/3.2.0/d1/dee/tutorial_moprh_lines_detection.html and detect horizontal lines.Then, Set pixel values to zero containing horizontal lines. Given code is in C++ but you can easily convert it into Python.

You can also reject horizontal lines from your detected lines using slope of lines. Exclude all the lines having slope almost equal to zero.

Following is the code snippet you can use (I made little changes in your code based on slope and morphological closing):

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=100lines = 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:
        ifabs(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: