Edge detection circle density cropping image

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After I get an int value for the amount of circles in an image detected; how would I go about cropping the image based on a density values for a certain area of higher circle concentration then others on the image.

example passport image, the highest density of circles would be around the word passport, how would I crop that piece of the image and resize if needed?

any article or snippets would help, Thanks in advance.

Posted 17-Aug-14 16:24pm

@SkyHigh34

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Sergey Alexandrovich Kryukov 18-Aug-14 1:26am

Puzzled, I took a passport and examined it. Believe or not, I did not find a single circle on the image printed in it, moreover, even though there is a word "passport" in it, there was nothing like that on an image. :-)
It's hard to understand what are you talking about.
—SA

@SkyHigh34 18-Aug-14 16:18pm

Using an edge detector to preprocess an image for OCR, when I apply the edge detector method, whit-in the processed image there are circles identifying the edges of characters. I am trying to crop the image where the highest density of the circle within the image.

Thanks

Sergey Alexandrovich Kryukov 18-Aug-14 16:28pm

So, you mean not a circle, but an area which is only topologically circular. But it may be the case, as the image is rarely contrast enough. More typically, it would be incomplete circle, which would make the problem much harder. If the image is contrast enough (you can perform some contrast transformations), the blob analysis could work for you. You should understand one things: "contours" perceived by a human are usually partially imaginary, they do not exist in real image, the brain gust "suggests" drawing them, which is driven be an imprinted conception of the object (is it a human head, a photograph?)
Also, you may be better of starting from recognition of eyes.
This way or another, the problem is tricky.
—SA

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