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 content’s 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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Vanhamel, I., Mihai, C., Sahli, H. et al. Scale Selection for Compact Scale-Space Representation of Vector-Valued Images. Int J Comput Vis 84, 194–204 (2009). https://doi.org/10.1007/s11263-008-0154-4
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DOI: https://doi.org/10.1007/s11263-008-0154-4