I am trying to learn techniques on image feature detection.
I have managed to detect horizontal line(unbroken/continuous), however I am
having trouble detecting all the dotted/broken lines in an image.
Here is my test image, as you can see there are dotted lines and some
text/boxes etc.
my code is below:
import cv2
import numpy as np
img=cv2.imread('test.jpg')
img=functions.image_resize(img,1000,1000) #function from a script to resize
image to fit my screen
imgGray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
imgEdges=cv2.Canny(imgGray,100,250)
imgLines= cv2.HoughLinesP(imgEdges,2,np.pi/100,60, minLineLength = 10,
maxLineGap = 100)
for x1,y1,x2,y2 in imgLines[0]:
cv2.line(img,(x1,y1),(x2,y2),(0,255,0),2)
cv2.imshow('Final Image with dotted Lines detected',img)
My output image is below. As you can see I only managed to detect the last
dotted line. I have played around with the parameters rho,theta,min/max line
but no luck.
Any advice is greatly appreciated :)
For the original link - which has the images
https://stackoverflow.com/questions/61239652/detect-dotted-broken-lines-only-in-an-image-using-opencv
--
https://mail.python.org/mailman/listinfo/python-list
