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

journal contribution
posted on 2006-01-01, 00:00 authored by W Ooi, Chee Peng LimChee Peng Lim
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.

History

Journal

Advances in soft computing

Volume

34

Pagination

355 - 372

Publisher

Springer

Location

Berlin, Germany

ISSN

1615-3871

Language

eng

Notes

This paper was presented at the 9th Online World Conference on Soft Computing in Industrial Applications 2004.

Publication classification

C1.1 Refereed article in a scholarly journal