Alleviate the Effect of Illumination Variation in ICA Subspace

Author

Zheng, Zhen ; Wang, Lei ; Gu, Jia ; Chang, Sheng-Jiang

Author_Institution

Inst. of Biomed. & Health Eng., Shenzhen Inst. of Adv. Technol., Shenzhen, China

fYear

2009

fDate

11-13 June 2009

Firstpage

1

Lastpage

4

Abstract

Illumination variation brings in significant difficulties to pattern recognition and consequent robot operations. In this paper an illumination factor for real-world images taken under a wide variety of lighting conditions in ICA subspace was extracted. After normalizing with the combination coefficient of the illumination factors, all the images that originated from the same object but with different illumination intensities were easily classified.

Keywords

bio-optics; biological effects of radiation; eye; image recognition; independent component analysis; medical image processing; ICA subspace; consequent robot operations; illumination variation effect; independent component analysis; lighting conditions; linear statistical method; pattern recognition; Biomedical engineering; Biomedical optical imaging; Data mining; Face recognition; Independent component analysis; Lighting; Minimally invasive surgery; Pattern recognition; Principal component analysis; Robots;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2901-1

Electronic_ISBN

978-1-4244-2902-8

Type

conf

DOI

10.1109/ICBBE.2009.5162302

Filename

5162302