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	A face image preprocessing algorithm based on Retinex theory
	Luo Zhen-bo ; Ding Xiao-qing ; Fang Chi ; Wang Zhen-er
	2010-05-06 ; 2010-05-06
关键词	Practical Theoretical or Mathematical/ face recognition/ Retinex theory face image preprocessing algorithm relative reflection rate face recognition/ B6135E Image recognition C1250M Image recognition C5260B Computer vision and image processing techniques
中文摘要	This paper analyses the intrinsic meaning of the Retinex theory and gets the conclusion of that the Retinex output image is essentially the relative reflection rate. As the relative reflection rate is insensitive to illumination, the Retinex theory can be used in face recognition under complicated illumination conditions. The histogram of the Retinex output images is calculated and close to normal distribution. So the Retinex output images' mean and variance are normalized to get the intensity in display domain. The experiments indicate that this preprocessing algorithm can improve the robustness of face recognition against illumination.
语种	中文 ; 中文
出版者	Beijing TV and Audio Engineering Publishing House ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/11200]
专题	清华大学
推荐引用方式 GB/T 7714	Luo Zhen-bo,Ding Xiao-qing,Fang Chi,et al. A face image preprocessing algorithm based on Retinex theory[J],2010, 2010.
APA	Luo Zhen-bo,Ding Xiao-qing,Fang Chi,&Wang Zhen-er.(2010).A face image preprocessing algorithm based on Retinex theory..
MLA	Luo Zhen-bo,et al."A face image preprocessing algorithm based on Retinex theory".(2010).

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