Scale selection for compact scale-space representation of vector-valued images

Authors:
Cosmin Mihai;Iris Vanhamel;Hichem Sahli;Antonis Katartzis;Ioannis Pratikakis
Affiliations:
Vrije Universiteit Brussel, ETRO-IRIS, Brussels, Belgium;Vrije Universiteit Brussel, ETRO-IRIS, Brussels, Belgium;Vrije Universiteit Brussel, ETRO-IRIS, Brussels, Belgium;Imperial College, EEE Dep., CSP Group, London, UK;NCSR "Demokritos", IIT, Computational Intelligence Laboratory, Athens, Greece
Venue:
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Year:
2007

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Abstract

This paper investigates the scale selection problem for vector-valued nonlinear diffusion scale-spaces. We present a new approach for the localization scale selection, which aims at maximizing the image content's presence by finding the scale having a maximum correlation with the noise-free image. For scale-space discretization, we propose to address an adaptation of the optimal diffusion stopping time criterion introduced by Mrázek and Navara [1], in such a way that it identifies multiple scales of importance.