This paper proposed a new stable algorithm based on feature point matching, which can be used in image registration under shift and rotation. The new method firstly extracts feature points in the first image of an image sequence and then searches the matching points in the consecutive images. Different from conventional methods, it adopts constrain of distance to revise matching and removing false matching, and also adopts projection of pixel to filter feature points and choose many possible matching points for one reference feature point, which makes it fast and reliable. Experiments prove this method is practical and reliable.
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