How to detect circles with +/-5% error margin?

asked 2017-10-23 05:04:17 -0600

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updated 2017-10-23 05:06:28 -0600

Hello, I am new opencv.

I have several images which consist of blobs in them. Every image has spherical or ellipse or nearly perfect circles in them. There are around 200 files. I want to check every file and see if the image is a nearly perfect circle (with maybe +-5% error margin, or close to 2pi*radius)?

I read most of the posts, Hough Transform detects circles however it doesn't detect anything in my images as they are perfect circles. So how could I find the best fitting circle based on provided threshold or circularity I can separate them out from the ones which meet my requirement.

Also is it possible to use one as a reference and to compare with others and do matching?

Type 1: Multiple blobs

type1

Type 2: Only one blob

type 2

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Hi @essamzaky could I use something like a blob detection as given here ? However, it doesn't quite work for the above images.

blackmamba591 ( 2017-10-24 02:11:06 -0600 )edit

Done thanks, just needed to edit the parameters. I can certainly implement the watershed now for the patch of multiple blobs i have

blackmamba591 ( 2017-10-24 04:45:58 -0600 )edit

good to know it works with you , would you up vote the answer

essamzaky ( 2017-10-25 07:22:17 -0600 )edit

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How to detect circles with +/-5% error margin?

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How to detect circles with +/-5% error margin?