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Scale selection for compact scale-space representation of vector-valued images This publication appears in: Lecture Notes in Computer Science Authors: C. Mihai, I. Vanhamel, H. Sahli, A. Katartzis and I. Pratikakis Volume: 4485 Pages: 32-42 Publication Date: Jun. 2007
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 that has a maximum correlation with the noise-free image. For scale-space discretization, we propose to adapt the optimal diffusion stopping time criterion of Mrazek and Navara in such a way that it may identify multiple scales of importance.
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