Texture Features Selection for Visual Servoing of the Beating Heart - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Communication Dans Un Congrès Année : 2006

Texture Features Selection for Visual Servoing of the Beating Heart

Résumé

Texture features are widely used for image classification and retrieval. They offer an efficient way to add prior knowledge in image processing, using an appropriate prior parametrization. In this paper, we present the methods we used to select among numerous existing features the most adapted to deal with beating heart tracking, using an experimental database of images and data mining techniques. Then we introduce the way we plan to use this information to reinforce region tracking algorithms in order to track the motion of characteristic landmarks on the heart surface.
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Dates et versions

lirmm-00102762 , version 1 (02-10-2006)

Identifiants

Citer

Aurélien Noce, Jean Triboulet, Philippe Poignet, Etienne Dombre. Texture Features Selection for Visual Servoing of the Beating Heart. BioRob 2006 - 1st IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, Feb 2006, Pisa, Italy. pp.335-340, ⟨10.1109/BIOROB.2006.1639109⟩. ⟨lirmm-00102762⟩
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