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Hybrid image segmentation using fuzzy clustering algorithms satellite imagery searching and retrieval
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.
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Journal
Advances in soft computingVolume
34Pagination
355 - 372Publisher
SpringerLocation
Berlin, GermanyPublisher DOI
ISSN
1615-3871Language
engNotes
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 journalUsage metrics
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