1 November 1991 Natural texture analysis in a multiscale context using fractal dimension
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This paper presents a method for natural texture analysis in a multiscale context. The texture signature is taken to be an anisotropic fractal feature related to the fractal dimension. By computing this signature in different orientations and through several pyramid levels, an attribute vector is obtained. The experimental results of texture segmentation by using Bayesian classifier show the method is efficient.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kidiyo Kpalma, Kidiyo Kpalma, Alain Bruno, Alain Bruno, Veronique Haese-Coat, Veronique Haese-Coat, } "Natural texture analysis in a multiscale context using fractal dimension", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50310; https://doi.org/10.1117/12.50310

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