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Proceedings Paper

Outstanding-objects-oriented color image segmentation using fuzzy logic
Author(s): Rina Hayasaka; Jiying Zhao; Yutaka Matsushita
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Paper Abstract

This paper presents a novel fuzzy-logic-based color image segmentation scheme focusing on outstanding objects to human eyes. The scheme first segments the image into rough fuzzy regions, chooses visually significant regions, and conducts fine segmentation on the chosen regions. It can not only reduce the computational load, but also make contour detection easy because the brief object externals has been previously determined. The scheme reflects human sense, and it can be sued efficiently in automatic extraction of image retrieval key, robot vision and region-adaptive image compression.

Paper Details

Date Published: 6 October 1997
PDF: 12 pages
Proc. SPIE 3229, Multimedia Storage and Archiving Systems II, (6 October 1997); doi: 10.1117/12.290350
Show Author Affiliations
Rina Hayasaka, Keio Univ. (Japan)
Jiying Zhao, Keio Univ. (Japan)
Yutaka Matsushita, Keio Univ. (Japan)


Published in SPIE Proceedings Vol. 3229:
Multimedia Storage and Archiving Systems II
C.-C. Jay Kuo; Shih-Fu Chang; Venkat N. Gudivada, Editor(s)

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