计算机应用研究2011，Vol.28Issue(12)：4790-4793,4.DOI:10.3969/j.issn.1001-3695.2011.12.105
改进的单尺度Retinex及其在人脸识别中的应用
Improved monoscale Retinex and application in face recognition
摘要
Abstract
In order to improve the face recognition rate in the change of illumination, this paper proposed a modified monoscale Retinex algorithm and applied to the illumination pretreatment of face recognition. This algorithm strengthened the original image through non-linear global contrast enhancement, and estimated the illumination by Mean-Shift smoothing filte-ring instead of Gaussian filter in traditional monoscale Retinex, and removed obviously the problem that monoscale Retinex could not solve halo formation. The experiment in face library shows that, this algorithm can not only has better illumination pretreatment effect than histogram equalization algorithm, Gamma correction algorithm, monoscale Retinex algorithm, multi-scale Retinex algorithm, but also improve the face recognition rate effectively.关键词
Retinex理论/光照预处理/Mean-Shift平滑滤波/人脸识别Key words
Retinex theory/ illumination preprocessing/ Mean-Shift smoothing filtering/ face recognition/分类
信息技术与安全科学引用本文复制引用
孙劲光,李扬,孟祥福,刘军立..改进的单尺度Retinex及其在人脸识别中的应用[J].计算机应用研究,2011,28(12):4790-4793,4.基金项目
国家青年科学基金资助项目(61003162) （61003162）
辽宁省重点实验室资助项目(2008s115) （2008s115）
