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Texture image classification using multi fractal dimension 被引量:1
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作者 LIU Zhuo-fu and SANG En-fang School of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001 , China 《Journal of Marine Science and Application》 2003年第2期76-81,共6页
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 d... 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. 展开更多
关键词 wavelet analysis multi-fractal dimension sonar image classification TEXTURE LVQ classifier
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