Outstanding-objects-oriented color image segmentation using fuzzy logic

Rina Hayasaka; Jiying Zhao; Yutaka Matsushita

doi:10.1117/12.290350

6 October 1997 Outstanding-objects-oriented color image segmentation using fuzzy logic

Rina Hayasaka, Jiying Zhao, Yutaka Matsushita

Proceedings Volume 3229, Multimedia Storage and Archiving Systems II; (1997) https://doi.org/10.1117/12.290350
Event: Voice, Video, and Data Communications, 1997, Dallas, TX, United States

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.

Citation Download Citation

Rina Hayasaka, Jiying Zhao, and Yutaka Matsushita "Outstanding-objects-oriented color image segmentation using fuzzy logic", Proc. SPIE 3229, Multimedia Storage and Archiving Systems II, (6 October 1997); https://doi.org/10.1117/12.290350

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