Apprentissage numérique pour la recherche d'informations en imagerie médicale : Modélisation des filtres de Gabor

Noureddine Bourkache 1 Sahbi Sidhom 2 Mourad Laghrouche 3
1 Laboratoire Lampa
LAMPA - Laboratoire d'Analyse & Modélisation des Phénomènes Aléatoires [Tizi-Ouzou]
2 KIWI - Knowledge Information and Web Intelligence
LORIA - AIS - Department of Complex Systems, Artificial Intelligence & Robotics
Abstract : We propose in this paper , a method of indexing and searching images by exploiting the digital image content . Our method is based on the representation of digital image content by a specific vector to index image characteristics. This vector will be called : digital signature of the image. To do this, we exploited the texture of the image using Gabor wavelets . In this work , each image of the training set is represented by its indexed and characteristics ( texture ) . This representation takes place offline , is characterized by the backing , in a database , all the signatures of indexed images . This allows us, online, to search digital similarity to a query picture. This same query image is indexed online with the same algorithm used offline . To evaluate the performance we tested our application on a learning image database containing 320 mammograms. The results show that the representation of the digital image content is important in information retrieval imaging .
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Submitted on : Monday, January 13, 2014 - 3:44:16 PM
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Noureddine Bourkache, Sahbi Sidhom, Mourad Laghrouche. Apprentissage numérique pour la recherche d'informations en imagerie médicale : Modélisation des filtres de Gabor. International symposium ISKO-Maghreb ̓ 2013 "Concepts and Tools for Knowledge Management (KM)", ENSIAS - Université Mohammed V Souissi, Rabat, Maroc, Nov 2013, Marrakech, Maroc. ⟨hal-00927280⟩

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