DocumentCode :
2332114
Title :
Illumination invariant skin color segmentation
Author :
Yang, Ukil ; Kim, Bongjoe ; Sohn, Kwanghoon
Author_Institution :
Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
fYear :
2009
fDate :
25-27 May 2009
Firstpage :
636
Lastpage :
641
Abstract :
Skin color segmentation takes a great attention in many vision-based methodologies. However, the performance of the segmentation is not stable because of color variations caused by various illumination conditions. In this paper, we propose a new skin color model for segmentation which is invariant to illumination variation. It is based on illumination-free color space which is defined on Lambertian surface. Through several experimental results, we confirm that the proposed skin color model is successfully applied to skin color segmentation under various illumination conditions.
Keywords :
computer vision; image colour analysis; image segmentation; lighting; Lambertian surface; illumination invariant skin color segmentation; vision-based methodologies; Charge-coupled image sensors; Data mining; Face detection; Face recognition; Image segmentation; Lighting; Probability distribution; Robustness; Skin; Temperature sensors; illumination-free color space; skin color model; skin color segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
Type :
conf
DOI :
10.1109/ICIEA.2009.5138283
Filename :
5138283
Link To Document :
بازگشت