Accurate, robust and automatic image registration is critical task in many typical applications that employ multi-sensor and/or multi-date imagery information. The main content of this paper is an algorithm for the registration of digital images. Some multi–sensed or temporal images contain large number of speckles and noise, or image can have some distortion by some means. For these reasons, we need to remove the noises, speckle and to recover from distortion. We register two to find the similarity between the images. This paper discusses techniques for image registration based on SIFT. In this proposed framework we use NCC metrics for optimizing the matching work. Best bin first search using kd tree is used for feature matching and RANSAC is used for outlier elimination.

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Scale Invariant Feature Transform Ncc Ransac Kd Tree Bbf.