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Scale Selection for Compact Scale-Space Representation of Vector-Valued Images This publication appears in: International Journal of Computer Vision Authors: I. Vanhamel, C. Mihai, H. Sahli, A. Katartzis and I. Pratikakis Volume: 84 Pages: 194-204 Publication Date: Aug. 2009
Abstract: This paper investigates the scale selection problem for nonlinear diffusion scale-spaces. This topic comprises the notions of localization scale selection and scale space discretization. For the former, we present a new approach. It aims at maximizing the image contents presence by finding the scale that has a maximum correlation with the noise-free image. For the latter, we propose to adapt the optimal diffusion stopping time criterion of Mrázek and Navara in such a way that it may identify multiple scales of importance.
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