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L'équipe ~ Raffaele Gaetano Dimanche 14 juillet 2024, 02h51

Raffaele Gaetano

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Ancien Post-Doctorant, Universita' degli Studi Federico II di Napoli

motcle Mots-clés : Champs Markoviens, Multi-Echelle, Texture, Segmentation, Classification
demos Démo : voir la démo de l'auteur
plus Contact :

E-Mail :raffaeledotgaetanoatinriadotfr
Téléphone :(39)081-768-38-37
Fax :(39)081-768-31-49
Adresse :Universita' degli Studi "Federico II" di Napoli
Dipartimento di Ingegneria Biomedica, Elettronica e delle Telecomunicazioni
Fabbricato 3/A, Stanza 4.26
via Claudio, 21
80125 Napoli
plus Mini CV :

Raffaele Gaetano received the laurea (M.S.) degree in computer engineering from the University ``Federico II'' of Naples, Italy,
in December 2004. From November 2005 he is working towards the Ph.D. degree in electronic and telecommunication engineering at the same university.

He is a member of the research group on Image Processing (GRIP) of the Department of Biomedics, Electronics and Telecommunication Engineering,
University of Naples. His main research activity is in the field of statistical image analysis and processing: in particular, his interests
are related to color and texture based hierarchical image segmentation, with main application to the classification of remote sensing images.

He conducts research on part of these topics in collaboration with INRIA, Sophia Antipolis (France), where he spent two different stays between 2006 and 2008 as a visiting student.

plus Dernières publications dans le projet Ariana :
Morphological road segmentation in urban areas from high resolution satellite images.
R. Gaetano et J. Zerubia et G. Scarpa et G. Poggi. Dans International Conference on Digital Signal Processing, Corfu, Greece, juillet 2011.
Mots-clés : Segmentation, Classification, skeletonization , pattern recognition, shape analysis.
Graph-based Analysis of Textured Images for Hierarchical Segmentation.
R. Gaetano et G. Scarpa et T. Sziranyi. Dans Proc. British Machine Vision Conference (BMVC), Aberystwyth, UK, août 2010.
Hierarchical Multiple Markov Chain Model for Unsupervised Texture Segmentation.
G. Scarpa et R. Gaetano et M. Haindl et J. Zerubia. IEEE Trans. on Image Processing, 18(8): pages 1830-1843, août 2009.
Mots-clés : Hierarchical Image Models, Markov Process, Pattern Analysis.
publis Liste complète des publications dans le projet Ariana
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