Finding a closest looking segment of data in another sequence

I am doing image processing, in which I came across a situation, where I have to compare two vectors and find an instance of the smaller vector in the larger vector.

Say the two vectors are A: with 100 elements (or entries) and B; with 10 elements. B is a model and it may not be present exactly as it is' in the vector A. I can compare 10 elements at a time and find the difference. Ideal case is that the B is present somewhere and the difference is zero. Otherwise a minimum will result at some random location, and i am missing the location.

Please help me in giving an algorithm such that the i can find Bs' closest instance in A.

Answer 1

[Image Analyst]

Use normxcorr2(), normalized cross correlation.