I'd like to extract the contours of an image, expressed as a sequence of point coordinates.
With Canny
I'm able to produce a binary image that contains only the edges of the image. Then, I'm trying to use findContours
to extract the contours. The results are not OK, though.
For each edge I often got 2 lines, like if it was considered as a very thin area. I would like to simplify my contours so I can draw them as single lines. Or maybe extract them with a different function that directly produce the correct result would be even better.
I had a look on the documentation of OpenCV but I was't able to find anything useful, but I guess that I'm not the first one with a similar problem. Is there any function or method I could use?
Here is the Python code I've written so far:
def main():
img = cv2.imread("lena-mono.png", 0)
if img is None:
raise Exception("Error while loading the image")
canny_img = cv2.Canny(img, 80, 150)
contours, hierarchy = cv2.findContours(canny_img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
contours_img = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
scale = 10
contours_img = cv2.resize(contours_img, (0, 0), fx=scale, fy=scale)
for cnt in contours:
color = np.random.randint(0, 255, (3)).tolist()
cv2.drawContours(contours_img,[cnt*scale], 0, color, 1)
cv2.imwrite("canny.png", canny_img)
cv2.imwrite("contours.png", contours_img)
The scale factor is used to highlight the double lines of the contours. Here are the links to the images:
Canny
findContours
Any suggestion will be greatly appreciated.
If I understand you right, your question has nothing to do with finding lines in a parametric (Hough transform) sense.
Rather, it is an issue with the findContours
method returning multiple contours for a single line.
This is because Canny is an edge detector - that means it is filter attuned to the image intensity gradient which occurs on both sides of a line.
So your question is more akin to: “how can I convert low-level edge features to single line?”, or perhaps: “how can I navigate the contours hierarchy to detect single lines?"
This is a fairly common topic - and here is a previous post which proposed one solution: