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Proceedings Paper

An empirical study of content-based retrieval methods for typhoon cloud images
Author(s): Peng Xu; Yuan-Xiang Li; Zhong-Liang Jing
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Paper Abstract

Typhoon cloud image retrieval is very important for typhoon research and forecast. In this paper, we designed a multifeature typhoon cloud retrieval system. Using this system, we investigated eight Content-based Image Retrieval (CBIR) methods, including histogram-based, texture-based, shape-based and entropy-based retrieval methods. The performance of these methods was tested by three experiments from different aspects. They are paradigm retrieval experiment, random statistical validity experiment and random statistical efficiency experiment. The experimental results indicate that the validity and effectiveness of entropy-based retrieval method is the best in all the methods. And some methods (like HU moments-based image retrieval method) are not suitable to the typhoon cloud images retrieval.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74982F (30 October 2009); doi: 10.1117/12.832992
Show Author Affiliations
Peng Xu, Shanghai Jiao Tong Univ. (China)
Yuan-Xiang Li, Shanghai Jiao Tong Univ. (China)
Zhong-Liang Jing, Shanghai Jiao Tong Univ. (China)

Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications

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