I’m working on this project where I’ve to separate some lines segments from others. I used Hough transform to detect these lines, however, I’m stuck on how I can extract only the lines I want. As you can see, in the image, I would like to extract the lines marked in red.
If someone has a idea of where I can find a documentation which can help or provide some code help, I’ll be gratefull.
I’ve provided my Hough transform code in case it can help for something.
img = cv2.imread('input.png') lines_list = list() if len(img.shape) == 3: gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY) image_all = img.copy() else: gray = img.copy() image_all = cv2.cvtColor(img,cv2.COLOR_GRAY2RGB) edges = cv2.Canny(gray,50,150,apertureSize=3) lines = cv2.HoughLinesP( edges, # Input edge image 5, # Distance resolution in pixels np.pi / 180, # Angle resolution in radians 150, # Min number of votes for valid line np.array(), minLineLength = 90, # Min allowed length of line maxLineGap = 40 # Max allowed gap between line for joining them ) for points in lines: # Extracted points nested in the list x1,y1,x2,y2=points # Draw the lines joing the points On the original image cv2.line(image_all,(x1,y1),(x2,y2),(0,100,255),4)