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Proceedings Paper

Natural texture analysis in a multiscale context using fractal dimension
Author(s): Kidiyo Kpalma; Alain Bruno; Veronique Haese-Coat
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Paper Abstract

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.

Paper Details

Date Published: 1 November 1991
PDF: 12 pages
Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50310
Show Author Affiliations
Kidiyo Kpalma, Institut National des Sciences Appliquees/Rennes (France)
Alain Bruno, Institut National des Sciences Appliquees/Rennes (France)
Veronique Haese-Coat, Institut National des Sciences Appliquees/Rennes (France)


Published in SPIE Proceedings Vol. 1606:
Visual Communications and Image Processing '91: Image Processing
Kou-Hu Tzou; Toshio Koga, Editor(s)

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