How do I compare two images & recognize the pattern in an image irrespective of its size and pattern size, and using .Net C#? Also, which algorithms are used for doing so from Image Processing?
+2
A:
See Scale-invariant feature transform, template matching, and Hough transform. A quick and inaccurate guess may be to make a histogram of color and compare it. If the image is complicated enough, you might be able to distinguish between several sets of images.
To make the matter simple, assume we have three buckets for R, G, and B. A completely white image would have (100%, 100%, 100%) for (R, G, B). A completely red image would have (100%, 0%, 0%). A complicated image might have something like (23%, 53%, 34%). If you take the distance between the points in that (R, G, B) space, you can compare which one is "closer".
eed3si9n
2008-11-20 05:21:16
A:
look up pattern recognition. I known very little about it other than the name.
Warning: If that is what you want, it is one of the hardest "real world" programming problems known.
BCS
2008-11-20 05:21:19
A:
Scale-invariant feature transform (SIFT) might be what you're looking for. It's not simple to understand or implement, however.
Adam Rosenfield
2008-11-20 05:21:46
+2
A:
Techniques for image matching and image recognition can be very different. For the first task, you may make use of SIFT or hand craft your own distance function, based on RGB or otherwise. For recognition, there a vast amount of machine learning techniques that you can use, more popular techniques involves Adaboost, SVM and other hybrid neural networks method. There are no lack of related research papers in this field. Google is your friend.
A:
Jinmala, you've asked a question here that is extremely broad. There are literally thousands of papers in the literature about these topics. There is no correct answer, and there are many unsolved issues in the comparison of images, so you really probably can't hope for a simple solution that just works (unless your situation is quite simple and constrained)
If you narrow things down, I might be able to help.
simon
2009-03-31 19:31:36