An image matching algorithm based on Harris scale invariant feature
Su Ling · Journal of Hefei University of Technology · 2011
This paper focuses on image matching algorithm based on Harris scale invariant feature in view of the fact that scale invariant feature transform(SIFT) matching efficiency is low when the images are self-similar or symmetric.In order to obtain stable feature point,the SIFT method is applied to describing Harris scale invariant feature,which improves the matching algorithm based on Harris corner.By using simple and efficient bilateral matching algorithm based on Euclidean distance,most mismatches are removed and the robustness of matching is improved.The experimental results demonstrate that this improved algorithm achieves movement,rotation and scale invariant in matching images,and has a higher registration precision on images which are self-similar or symmetric.