DocumentCode :
2901394
Title :
A Power Law Transformation Predicting Lightness Conditions Based on Skin Color Space Detection
Author :
Kondela, Emmanuel ; Jun, Huang Dong
Author_Institution :
Dept. of Comput. Studies, Dar es Salaam Inst. of Technol., Dar es Salaam, Tanzania
fYear :
2011
fDate :
16-18 Nov. 2011
Firstpage :
1472
Lastpage :
1476
Abstract :
This paper presents an improved human-skin-color detection approach in images using power law transformation predicting lightness conditions. Our approach focus on different illumination conditions and complex background via RGB-HSV model. The illumination is adjusted without loosing image quality, and skin detection is done in a per pixel fashion after transforming into HSV color space. The experimental results demonstrated that, the proposed technique is able to achieve robust results, where a set of skin color images from ethnic color images from ethnic groups have been detected such as Asian, African and Caucasian.
Keywords :
image colour analysis; lighting; RGB-HSV model; ethnic color image; human-skin-color detection; illumination condition; image quality; lightness condition prediction; power law transformation; skin color image; skin color space detection; Brightness; Color; Colored noise; Humans; Image color analysis; Lighting; Skin; color space; power law transformation; skin detection and morphological filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Trust, Security and Privacy in Computing and Communications (TrustCom), 2011 IEEE 10th International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4577-2135-9
Type :
conf
DOI :
10.1109/TrustCom.2011.202
Filename :
6120998
Link To Document :
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