Simple Search:

Just-in-time outdoor color discrimination using adaptive similarity-based classifier


Citation

Sojodishijani, Omid and Ramli, Abdul Rahman and Rostami, Vahid and Samsudin, Khairulmizam and Saripan, M. Iqbal (2010) Just-in-time outdoor color discrimination using adaptive similarity-based classifier. IEICE Electronics Express, 7 (5). pp. 339-345. ISSN 1349-2543

Abstract / Synopsis

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.


Download File

[img]
Preview
PDF (Abstract)
Just-in-time outdoor color discrimination using adaptive similarity-based classifier.pdf

Download (34kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Institute of Advanced Technology
DOI Number: https://doi.org/10.1587/elex.7.339
Publisher: The Institute of Electronics, Information and Communication Engineers
Keywords: Model-free outdoor color constancy; Adaptive similarity-based classification; Non-stationarity tracking
Depositing User: Anas Yahaya
Date Deposited: 31 Mar 2011 18:18
Last Modified: 26 Oct 2018 09:54
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1587/elex.7.339
URI: http://psasir.upm.edu.my/id/eprint/11431
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item