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Gaps in canny-detected edges

asked 2012-12-16 13:04:38 -0500

walkingbeard gravatar image

Hi,

I'm having trouble detecting edges with the Canny function. Despite running on a binary image (shouldn't that be easy?) there are gaps in the final contour. Maybe I'm using the wrong parameters, but I'm a little unclear on what each one does.

I am running cv::Canny(imgOut, imgOut, 0, 0, 3, true) on:image description and getting: image description

Here is a zoom. Currently, the red pixel is actually black, but it needs to come out white. Can this be reasonably achieved? image description

Make thanks!

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answered 2012-12-17 01:43:54 -0500

Haris gravatar image
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Yes, amazing advice. Thank you so much

Dodo gravatar imageDodo ( 2014-12-28 14:54:54 -0500 )edit
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answered 2012-12-17 00:01:00 -0500

Daniil Osokin gravatar image

Hi! You can try to increase aperture size (like 5 or more), also try to run findContours instead of Canny.

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answered 2012-12-17 04:35:18 -0500

venky gravatar image

Hi, One option may be to use the laplacian option in Canny Canny( InputArray image, OutputArray edges, double threshold1, double threshold2, int apertureSize=3, bool L2gradient=false ); make the L2gradient=true and check the result out.

If possible try to check if the Matlab canny detector gives the same result. As suggested by Daniil Osokin you could use find contours as an alternate if you have only Binary images.

Thanks Venky

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Asked: 2012-12-16 13:04:38 -0500

Seen: 7,279 times

Last updated: Dec 17 '12