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Proceedings Paper

Color image segmentation using optical models
Author(s): Dariusz Litwin; Tardi Tjahjadi; Yee-Hong Yang
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Paper Abstract

In this paper we present an overview of various strategies for image segmentation, showing their advantages and drawbacks. The overview covers most of the methods from the classical statistical methods to model-based techniques, with a focus on color images. The paper concludes with a summary of our approach to identifying interreflection.

Paper Details

Date Published: 24 August 2001
PDF: 8 pages
Proc. SPIE 4535, Optical Sensing for Public Safety, Health, and Security, (24 August 2001); doi: 10.1117/12.438436
Show Author Affiliations
Dariusz Litwin, Institute of Applied Optics (Poland)
Tardi Tjahjadi, Univ. of Warwick (United Kingdom)
Yee-Hong Yang, Univ. of Saskatchewan (Canada)

Published in SPIE Proceedings Vol. 4535:
Optical Sensing for Public Safety, Health, and Security
Maksymilian Pluta, Editor(s)

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