Name for a test to find the best match for a given image in a library of images (OpenCV?)

I have looked t开发者_C百科hrough all the OpenCV documentation that I could find and googled for what I'm looking for, but I think I must be using the wrong terminology.

What I want to do is something similar to template matching, but I do not need to search for instances of my image in another image. I need to compare my image to a library of other images and determine which is the best match. Is there a name for this kind of matching?

If there is no existing library for it, I am planning just to use a correlation function for each image in the library and take the best match.

Try looking for SIFT/SURF.

Well you want to match a template in a lot of images.

You can create a loop for matching teplates to images. And find minMaxLoc and values.

So you can see which image how match to template.

It sounds like image matching or image comparison (another keyword you might search for is image registration but that is a bit different).

One simple technique could be to compare the histograms of the two images. Check out this link for more information

http://opencv.willowgarage.com/documentation/cpp/histograms.html?highlight=histograms#cv-comparehist

You should also look at the sample programs that come with openCV called find_obj and find_obj_ferns