title: How to find angle of hough lines detected?
body: <p><a href="https://i.stack.imgur.com/FZ67O.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/FZ67O.jpg" alt="enter image description here"></a></p>
  
  <p>My goal is to detect the fractured bone using open cv. I tried the following code. and got correct canny detection edges.and also found houghlines.But now my job is to detected the fractured spot in the image. Iam not understanding how to proceed further. In some blogs i found the we can determine angle of houghlines to detect that line is not staright. But not knowing how to find angle of houghline in my code. Can someone help?</p>
  
  <pre><code>import cv2
  import numpy as np
  import math
  img = cv2.imread('bone2.jpg')
  gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
  edges = cv2.Canny(gray,100,400,apertureSize =3)
  cv2.imshow('canny',edges)
  kernel=np.ones((5,5),np.uint8)
  boneEdges=cv2.morphologyEx(edges,cv2.MORPH_GRADIENT,kernel)
  minLineLength =1000
  maxLineGap = 10
  lines = cv2.HoughLinesP(boneEdges,1,np.pi/180,100,minLineLength,maxLineGap)
  
  for x1,y1,x2,y2 in lines[0]:
   cv2.line(img,(x1,y1),(x2,y2),(0,255,0),2)
   slope=(y2-y1),(x2-x1)
   # print('slope',arctan(slope))
  cv2.imwrite('houghlines5.jpg',img)
  cv2.waitKey(0)
  </code></pre>
  
  <p><a href="https://i.stack.imgur.com/zuVLY.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/zuVLY.jpg" alt="enter image description here"></a></p>