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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!
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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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 ...
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.
http://en.wikipedia.org/wiki/Computer_vision
http://en.wikipedia.org/wiki/Computer_vision
ASKER
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.)