关键词: 尺度不变特征变换（SIFT）, 光照不均, 同态滤波, 多尺度空间, 图像匹配

Abstract: In order to solve the poor matching problem of SIFT algorithm in uneven illumination, an SIFT matching algorithm（MSHFHS+SIFT） which is fused with difference of homomorphic filtering is proposed in this paper. In the proposed method, first, the homomorphic filtering algorithm is extended to multi-scale space to build a pyramid of homomorphic filtering. Then, it fuses with SIFT algorithm for using its  feature points extraction and descriptor generation method. Finally, it uses distance-radio for matching. Experimental results in various illumination changing environments show that the proposed algorithm has better robustness than the traditional methods.

Key words: Scale Invariant Feature Transform（SIFT）, uneven illumination, homomorphic filtering, multi-scale space, image matching