Finding Sub-Images in a image

I have a fairly simple situation. I just don't know any specific terms to search for. I have a single image, in that image I have several other images that follow a basic pattern. They are rectangles and will possibly have landmark image to base things off of. An important part, is that I need to detect rotated/mis-scaled sub-images.

Basically what I need to be able to do is split 'business cards' from a single image into properly aligned single images.

As I am also designing the cards to be scanned I can put in whatever symb开发者_开发技巧ol or something that would make detection easier (as I said a landmark)

If your example is representative (which I doubt for some reason) then Hough transform is your friend (google it, there are plenty of explanations and code around). With it you'll be able to detect the rectangles.

Some examples of Hough transform in C# are http://www.koders.com/csharp/fid3A88BC1FF95FCA9D6A182698263A40EE7883CF26.aspx and http://www.shedletsky.com/hough/index.html

If what actually happens is that you scan some cards, and you have some control over the process, then I'd suggest that you ensure there is no overlap between cards, and provide a contrasting background (something very different from the cards). Then any edge-detection will get you close enough to what you've drawn in your example, and after that you can use Hough transform.

Alternatively, you can implement the paper http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.4239 which uses Hough transform to detect rectangles directly, without edge detection.

If I did not understand your problem, or you need clarifications, please edit your question further and post a comment on this answer.

Try AForge.NET (if you are using C#). It has DocumentSkewChecker which will calculate the angle of rotated image.

You can try ExhaustiveTemplateMatching class of AForge.Net