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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: Lena greyscale Edges extracted with Canny <a href="https://docs.google.com/file/d/0BxpQXkAT_TOhSzVPZGw1LUhWTU0/

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