2018-02-14 01:14:14 -0500 received badge ● Famous Question (source) 2017-06-25 06:25:11 -0500 received badge ● Notable Question (source) 2017-03-22 15:33:51 -0500 received badge ● Popular Question (source) 2015-07-28 05:48:02 -0500 commented question Using minAreaRect with contour in Python @StevenPuttemans The output of cv2.minAreaRect() is ((x, y), (w, h), angle). Using cv2.cv.BoxPoints() is meant to convert this to points. 2015-07-27 12:17:29 -0500 received badge ● Organizer (source) 2015-07-27 12:17:13 -0500 asked a question Using minAreaRect with contour in Python I'm attempting to use OpenCV to identify and extract a fairly obvious region from an image. So far, by using a threshold and a series of dilations and erosions, I can successfully find the contour for the area I require. However, my attempts to use minAreaRect as a precursor to rotation and cropping are failing to generate a rectangle that contains the input contour. contours, hierarchy = cv2.findContours(morph.copy() ,cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) contour = contours[0] draw = cv2.cvtColor(morph, cv2.COLOR_GRAY2BGR) cv2.drawContours(draw, [contour], 0, (0,255,0), 2) rotrect = cv2.minAreaRect(contour) box = cv2.cv.BoxPoints(rotrect) box = numpy.int0(box) cv2.drawContours(draw, [box], 0, (0,0,255), 2) cv2.imshow('image', draw); cv2.waitKey(0)  Here's and example of the output: Where the red stroke is the rect and the green is the contour. I would have expected the red stroke to encompass the green stroke. Unfortunately I'm unable to provide the input image.