6 October 1997 Outstanding-objects-oriented color image segmentation using fuzzy logic
Author Affiliations +
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rina Hayasaka, Rina Hayasaka, Jiying Zhao, Jiying Zhao, Yutaka Matsushita, Yutaka Matsushita, } "Outstanding-objects-oriented color image segmentation using fuzzy logic", Proc. SPIE 3229, Multimedia Storage and Archiving Systems II, (6 October 1997); doi: 10.1117/12.290350; https://doi.org/10.1117/12.290350
PROCEEDINGS
12 PAGES


SHARE
RELATED CONTENT

Image group compression using texture databases
Proceedings of SPIE (February 19 2008)
Segmentation-based image retrieval
Proceedings of SPIE (December 23 1997)
Perceptual indexing of visual information
Proceedings of SPIE (January 04 2002)

Back to Top