Hybrid image segmentation using fuzzy clustering algorithms satellite imagery searching and retrieval

Ooi, W. S. and Lim, C. P. 2006, Hybrid image segmentation using fuzzy clustering algorithms satellite imagery searching and retrieval, Advances in soft computing, vol. 34, pp. 355-372.

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Title Hybrid image segmentation using fuzzy clustering algorithms satellite imagery searching and retrieval
Author(s) Ooi, W. S.
Lim, C. P.
Journal name Advances in soft computing
Volume number 34
Start page 355
End page 372
Total pages 18
Publisher Springer
Place of publication Berlin, Germany
Publication date 2006
ISSN 1615-3871
Summary Satellite image processing is a complex task that has received considerable attention from many researchers. In this paper, an interactive image query system for satellite imagery searching and retrieval is proposed. Like most image retrieval systems, extraction of image features is the most important step that has a great impact on the retrieval performance. Thus, a new technique that fuses color and texture features for segmentation is introduced. Applicability of the proposed technique is assessed using a database containing multispectral satellite imagery. The experiments demonstrate that the proposed segmentation technique is able to improve quality of the segmentation results as well as the retrieval performance.
Notes This paper was presented at the 9th Online World Conference on Soft Computing in Industrial Applications 2004.
Language eng
Field of Research 109999 Technology not elsewhere classified
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category C1.1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30050271

Document type: Journal Article
Collection: Institute for Frontier Materials
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