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Hierarchical Image Representation Simplification Driven by Region Complexity

Petra Bosilj 1, 2 Sébastien Lefèvre 2 Ewa Kijak 1
1 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
2 OBELIX - Environment observation with complex imagery
UBS - Université de Bretagne Sud, IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : This article presents a technique that arranges the elements of hierarchical representations of images according to a coarseness attribute. The choice of the attribute can be made according to prior knowledge about the content of the images and the intended application. The transformation is similar to filtering a hierarchy with a non-increasing attribute, and comprises the results of multiple simple filterings with an increasing attribute. The transformed hierarchy can be used for search space reduction prior to the image analysis process because it allows for direct access to the hierarchy elements at the same scale or a narrow range of scales.
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Submitted on : Friday, December 20, 2013 - 6:02:56 PM
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Petra Bosilj, Sébastien Lefèvre, Ewa Kijak. Hierarchical Image Representation Simplification Driven by Region Complexity. International Conference on Image Analysis and Processing, Sep 2013, Naples, Italy. pp.562-571, ⟨10.1007/978-3-642-41181-6_57⟩. ⟨hal-00921674⟩

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