houghlinesp

I have this source image: My goal is to remove the bottom line while keep the letters/numbers untouched. This is the code I use: import cv2 import numpy as np img = cv2.imread('src.png') gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) edges = cv2.Canny(gray,100,200,apertureSize = 5) minLineLength = 0 maxLineGap = 19 lines = cv2.HoughLinesP(edges,1,np.pi/180,15,minLineLength,maxLineGap) for x in range(0, len(lines)): for x1,y1,x2,y2 in lines[x]: cv2.line(img,(x1,y1),(x2,y2),(255,255,255),2) cv2.imshow('hough',img) cv2.waitKey(0) The best result I achieved by now is this: How can I improve it more,

I'm trying to get the same result they got in this tutorial for HoughLinesP filter. I took same images and same threshold values like this : import cv2 from line import Line import numpy as np img = cv2.imread('building.jpg',1) cannied = cv2.Canny(img, 50, 200, 3) lines = cv2.HoughLinesP(cannied, 1, np.pi / 180, 80, 30, 10) for leftx, boty, rightx, topy in lines[0]: line = Line((leftx, boty), (rightx,topy)) line.draw(img, (255, 255, 0), 2) cv2.imwrite('lines.png',img) cv2.imwrite('canniedHouse.png',cannied) cv2.waitKey(0) cv2.destroyAllWindows() Line class is a custom class that does not do