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Detect Position of Images, Ignoring Noise (C# or PHP or ImageMagick)

I have some 2bit (black & white) images which contain a lot of noise and also images.

I need to detect roughly where the images are on the page.

What I'm thinking is if I separate the file into blocks, then count the number of black pixels in each block. I can then take an average for all the blocks. Then I know that blocks with significantly more black pixels in their block than average will contain an image.

What is the best and fastest way of coding this? I can do it in any language. It's being run from command line on Debian 6.

Thank you for your help!
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1 Solution

maybe it's overkill for your need, but you should take a look at the open source library OpenCV (http://en.wikipedia.org/wiki/OpenCV) which is especially made for things like image segmentation and recognition. This cross-platform library can be used from C, C++, C#, Python, Ruby, Java, maybe more ...

ADFBAuthor Commented:
Looks very interesting...

How would I do this with OpenCV?

The pages are B&W and consist of text, images, and lots of noise (in large black dots and some small lines). How would I use OpenCV to remove all the noise, keeping the text and images? (Or just keeping the images since I have an image mask for protecting the text anyway.)
Sorry, I don't have any experience with OpenCV - I just found it some years ago and took a look at some samples and found it very interesting. But about how to solve your problem with OpenCV I cannot help you much ...
Ray PaseurCommented:
Make a Google search for "Image Recognition" and you will see where we are in this rapidly advancing field.  The Wiki article appears to be particularly good.
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