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Texture classification of photographic papers: improving spectral clustering using filterbanks on graphs

Tremblay, Nicolas and Roux, Stéphane G. and Borgnat, Pierre and Abry, Patrice and Wendt, Herwig and Messier, Paul Texture classification of photographic papers: improving spectral clustering using filterbanks on graphs. (2015) In: 25eme Colloque Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2015), 8 September 2015 - 11 September 2015 (Lyon, France).

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Abstract

From the point of view of graph signal processing, we show that spectral clustering is equivalent to an ideal low-pass filterbank. Building upon previous multiscale community detection ideas [11], and integrating the concept of community cores [8], we propose a data-driven filterbank-based classification method. We apply this method to the texture classification of photographic papers useful to art historians, and we show that it provides a richer and more informative description of the data’s structure in clusters.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-01518069
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Other partners > Ecole Normale Supérieure de Lyon - ENS de Lyon (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Paul Messier (USA)
Laboratory name:
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Deposited By: IRIT IRIT
Deposited On:22 Mar 2017 15:42

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