Title :
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
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;
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
DOI :
10.1109/ICBBE.2009.5162302
