光照变化环境下的SIFT改进算法  

Improvement to SIFT matching algorithm in uneven illumination

作　　者：董晓庆[1] 陈洪财[1] DONG Xiaoqing;CHEN Hongcai(School of Physics and Electronic Engineering, Hanshan Normal University, Chaozhou, Guangdong 521041, China)

机构地区：[1]韩山师范学院物理与电子工程学院,广东潮州521041

出　　处：《计算机工程与应用》2016年第15期222-227,270,共7页Computer Engineering and Applications

基　　金：广东省青年创新人才项目(No.2014KQNCX194);潮州市科技引导计划项目(No.2014SF03);广东省高等教育教学改革项目(No.GDJG20142402)

摘　　要：为了解决SIFT算法在光照不均环境下匹配效果差的问题,提出了一种融合差分同态滤波算法的SIFT匹配算法(MSHFHS+SIFT算法)。该方法对同态滤波算法进行扩展,推广到多尺度空间,以构建同态滤波金字塔,与SIFT进行融合,利用SIFT算法的特征点提取、描述子生成方法,根据distance-radio准则进行匹配。在各种光照变化环境下的实验证明,该算法较之传统的方法具有更好的鲁棒性。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 proposedmethod, first, the homomorphic filtering algorithm is extended to multi-scale space to build a pyramid of homomorphicfiltering. 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 thatthe proposed algorithm has better robustness than the traditional methods.

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 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]