what would be the best language/method to get image detection to work?
The anti-Macro brings up a screen with images/icons that you need to match. The icons keep changing.
this video should show what i need the program to do.
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thx for the info
I'm not exactly sure what you are asking, but let me explain what I understand.
You have a list of icons, you also have an image. You want to search the image to see if any of the icons show up and where they are?
I would use OpenCV for that. OpenCV is a C++ library but there are Java and .Net wrappers for it.
As HappyCoder suggested, using template matching is the best way to do this. OpenCV is (arguably) the best computer vision and image processing library. Unfortunately, the C++ bindings can be a real pain to use. I would suggest using the Python bindings to prototype your approach and only implement in C++ if absolutely necessary.
Along with the docs, I would take a look at this post -- it has a really good example of how to use template matching.
this for the info yah basicly the anti-macro screen pops up randomly and shows 3-5 icons. Then you have a list of icons at the bottom and you must click the icons that match.
as you can see in this picture there 3 icons/images from the tops have to be matched with the ones on the bottom.
[url=http://i
mageshack.us/photo/my-images/853/825t.png/][/URL]
Hi destluk,
Maybe im missing something here, but do you need image detection if you just want to match two images? Could you not just give your images a unique id, and check them off each other? Just from your screen shot, im not sure why you would need something so complex ( but im sure there could be a reason 
)
[Edit] I now see that anti-macro is a game, and you want to use this in said game - Disregard ;)
this for the info yah basicly the anti-macro screen pops up randomly and shows 3-5 icons. Then you have a list of icons at the bottom and you must click the icons that match.
as you can see in this picture there 3 icons/images from the tops have to be matched with the ones on the bottom.
http://img853.imageshack.us/img853/4273/825t.png
I think he wants to write a bot that clicks on the correct items rather than know how to implement the algorithm, frob ;)
Another way to do it is to sample some pixels from the images and compare the colours. You don't need to sample all the pixels, as long as the pixels you do sample are enough to distinguish all the images. That's how some online poker bots work.
@Paradigm Shifter: Sampling the colors would definitely be a good start. But that approach could easily fall apart if two items have near identical color distributions. In terms of OpenCV, computing a histogram and comparing to a database of known items takes no more code than performing template matching.
No, I mean sample a set of pixels from within the image. For poker bots they just look at something like 8 pixels or so from each card image, those 8 pixels will be sufficient for distinguishing between all 52 cards in the deck.
This assumes you know the image colours exactly and they don't do things like fade in or out, resize and blur, etc.
