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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Hybrid Image Segmentation based on Fuzzy Clustering Algorithm for Satellite Imagery Searching and Retrieval
verfasst von : W.S. Ooi, C.P. Lim
Erschienen in: Applied Soft Computing Technologies: The Challenge of Complexity
Verlag: Springer Berlin Heidelberg
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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.