Texture image classification using multi-fractal dimension

Zhuo-fu Liu; En-fang Sang

doi:10.1007/BF02918668

Journal of Marine Science and Application ›› 2003, Vol. 2 ›› Issue (2) :76 -81. DOI: 10.1007/BF02918668

Article

Texture image classification using multi-fractal dimension

Zhuo-fu Liu ¹
, En-fang Sang ¹

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Abstract

This paper presents a supervised classification method of sonar image, which takes advantages of both multi-fractal theory and wavelet analysis. In the process of feature extraction, image transformation and wavelet decomposition are combined and a feature set based on multi-fractal dimension is obtained. In the part of classifier construction, the Learning Vector Quantization (LVQ) network is adopted as a classifier. Experiments of sonar image classification were carried out with satisfactory results, which verify the effectiveness of this method.

Keywords

wavelet analysis / multi-fractal dimension / sonar image classification / texture / LVQ classifier

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Zhuo-fu Liu, En-fang Sang. Texture image classification using multi-fractal dimension. Journal of Marine Science and Application, 2003, 2(2): 76-81 DOI:10.1007/BF02918668

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