An ICA based method for texture recognition

An ICA based method for texture recognition

The method proposed in this paper uses the Independent Component Analysis (ICA) for an application of unsupervised recognition of textures. The analysed texture is modelled by a weighted sum of almost statistically independent random signals that are extracted with FastICA algorithm. Each resulting...

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Bibliographic Details
Main Authors: Thierry FOURNEL, Jean-Marie BECKER, Daniela COLTUC, Yann BOUTANT
Format: Article
Language:English
Published: Universitatea Dunarea de Jos 2006-12-01
Series:Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică
Subjects:
Independent Component Analysis
Negentropy
Pattern Recognition
Texture
Online Access:http://www.ann.ugal.ro/eeai/archives/2006/Lucrare-04-Coltuc.pdf

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