Aiming at the problem of lots of redundancy feature points existing in traditional scale-invariant feature transform(SIFT) algorithm which can led to large amount of computation and low efficiency in the image matching process, an improved SIFT algorithm based on image texture features is proposed. First, the algorithm uses permutation entropy extraction image texture information, on this basis, it uses SIFT to extract feature point, then it can reduce part of the redundancy feature points, in order to effectively improve the efficiency of matching algorithm. The simulation results show that the algorithm has fewer redundant feature points than the traditional SIFT algorithm. And the efficiency of matching feature points increases to 98.04%.
