A Sharp Concentration-Based Adaptive Segmentation Algorithm

Christophe Fiorio; André Mas

doi:10.1007/978-3-642-17274-8_9

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A Sharp Concentration-Based Adaptive Segmentation Algorithm

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A Sharp Concentration-Based Adaptive Segmentation Algorithm

Christophe Fiorio et André Mas

6th International Symposium on Visual Computing, Vol.LNCS(6454), pp.85-96

Advances in Visual Computing

ISVC: International Symposium on Visual Computing (Las Vegas, United States, 29/11/2010–01/12/2010)

12/2010

DOI: https://doi.org/10.1007/978-3-642-17274-8_9

Résumé

Statistical Image Analysis

Image Segmentation

Region Segmentation Criterion

We propose an adaptive procedure for segmenting images by merging of homogeneous regions. The algorithm is based on sharp concentration inequalities and is tailored to avoid over- and under-merging by controlling simultaneously the type I and II errors in the associated statistical testing problem.

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Détails

Titre: A Sharp Concentration-Based Adaptive Segmentation Algorithm
Créateurs - sans rôle: Christophe Fiorio - Université de Montpellier
André Mas - Université de Montpellier, Institut Montpelliérain Alexander Grothendieck - IMAG
Contributeurs - sans rôle: G. Bebis
Détails de publication: 6th International Symposium on Visual Computing, Vol.LNCS(6454), pp.85-96
Colloque: ISVC: International Symposium on Visual Computing (Las Vegas, United States, 29/11/2010–01/12/2010)
Publications en série: Advances in Visual Computing
Identifiants: 9942162409311
Unité académique: Institut Montpelliérain Alexander Grothendieck - IMAG; Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier - LIRMM
Langue: English
Type de ressource: Conference proceeding
Champs locaux: lirmm-00532783