An empirical study of content-based retrieval methods for typhoon cloud images

Peng Xu; Yuan-Xiang Li; Zhong-Liang Jing

doi:10.1117/12.832992

30 October 2009 An empirical study of content-based retrieval methods for typhoon cloud images

Peng Xu, Yuan-Xiang Li, Zhong-Liang Jing

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74982F (2009) https://doi.org/10.1117/12.832992
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Peng Xu, Yuan-Xiang Li, and Zhong-Liang Jing "An empirical study of content-based retrieval methods for typhoon cloud images", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74982F (30 October 2009); https://doi.org/10.1117/12.832992

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