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I am using findContours on a simple white circle i created on a paint application with a black back ground. The problem is that while the tutorials tell me that there should be only one contour surrounding that circle, when i output the contours, there are 2 different points.

Due to this reason, i am not able to use contour approx method.

Can anyone help me with this?

Thanks in Advance!

I am using findContours on a simple white circle i created on a paint application with a black back ground. The problem is that while the tutorials tell me that there should be only one contour surrounding that circle, when i output the contours, there are 2 different points.

Due to this reason, i am not able to use contour approx method.

Can anyone help me with this?

Thanks in Advance!

         http://codepad.org/0UIGzcYO      <- This is the code


        http://postimg.org/image/k8sbwdnkv/0d008450/          <- This is the image i am using for the contour approx method

         http://postimg.org/image/51gxprl3z/fb8cb208/       <- This is the original image

I am using findContours on a simple white circle i created on a paint application with a black back ground. The problem is that while the tutorials tell me that there should be only one contour surrounding that circle, when i output the contours, there are 2 different points.

Due to this reason, i am not able to use contour approx method.

Can anyone help me with this?

Thanks in Advance!

 http://codepad.org/0UIGzcYO      <- This is the code


        http://postimg.org/image/k8sbwdnkv/0d008450/          <- This is the image i am using for the contour            import cv2
                    import numpy as np

                    img = cv2.imread("url.png")

                    canny = cv2.Canny(img,0,0)

                    imgs,cnts,hie = cv2.findContours(canny,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)

                    cv2.namedWindow("img",cv2.WINDOW_NORMAL)

                    cnt = cnts[1]

                   epsilon = 0.1*cv2.arcLength(cnt,True)
                   approx method

         http://postimg.org/image/51gxprl3z/fb8cb208/       <- = cv2.approxPolyDP(cnt,epsilon,True)

                   cv2.drawContours(img,approx,-1,(0,255,0),3)

                   cv2.imshow("img",img)

                  cv2.waitKey(0)
                  cv2.destroyAllWindows()

This is the original image image(/upfiles/14483724218429244.png) This is the editied image for approximation(/upfiles/14483724673701482.png)

I am using findContours on a simple white circle i created on a paint application with a black back ground. The problem is that while the tutorials tell me that there should be only one contour surrounding that circle, when i output the contours, there are 2 different points.

Due to this reason, i am not able to use contour approx method.

Can anyone help me with this?

Thanks in Advance!

                    import cv2
                    import numpy as np

                    img = cv2.imread("url.png")

                    canny = cv2.Canny(img,0,0)

                    imgs,cnts,hie = cv2.findContours(canny,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)

                    cv2.namedWindow("img",cv2.WINDOW_NORMAL)

                    cnt = cnts[1]

                   epsilon = 0.1*cv2.arcLength(cnt,True)
                   approx = cv2.approxPolyDP(cnt,epsilon,True)

                   cv2.drawContours(img,approx,-1,(0,255,0),3)

                   cv2.imshow("img",img)

                  cv2.waitKey(0)
                  cv2.destroyAllWindows()

This is the original image(/upfiles/14483724218429244.png) This is the editied image for approximation(/upfiles/14483724673701482.png)