Sojodishijani, Omid and Ramli, Abd Rahman and Rostami, Vahid and Samsudin, Khairulmizam and Saripan, Mohd Iqbal (2010) Just-in-time outdoor color discrimination using adaptive similarity-based classifier. IEICE Electronics Express, 7 (5). pp. 339-345. ISSN 1349-2543
Full text not available from this repository.
Official URL: http://www.jstage.jst.go.jp/article/elex/7/5/339/_pdf
The color recognition and identification in operation time is a critical task in color-based computer vision applications. The main problem for recognizing the real color arises when the color characteristics are changed dynamically in the life time of a system. The outdoor color models which have been addressed by some researchers have serious practical limitations to employ in real applications. Moreover, due to high fluctuations in environment illumination, using conventional classifier for discriminating colors is a complicated task. In this paper, a just-in-time and model-free solution in order to discriminate outdoor colors on data driven modality is proposed. For this purpose, adaptive similarity-based classifier is utilized to track the color's data evolution during a day.
|Keyword:||Model-free outdoor color constancy, adaptive similarity-based classification, Non-stationarity tracking|
|Faculty or Institute:||Faculty of Engineering|
|Publisher:||The Institute of Electronics, Information and Communication Engineers|
|Deposited By:||Anas Yahaya|
|Deposited On:||31 Mar 2011 10:18|
|Last Modified:||31 Mar 2011 10:20|
Repository Staff Only: Edit item detail
Document Download Statistics
This item has been downloaded for since 31 Mar 2011 10:18.