Scale selection for compact scale-space representation of vector-valued images
 
Scale selection for compact scale-space representation of vector-valued images ■
 
Cosmin Mihai, Cosmin Mihai, Cosmin Mihai, Iris Vanhamel, Iris Vanhamel, Iris Vanhamel, Hichem Sahli, Hichem Sahli, Hichem Sahli, Antonis Katartzis, Antonis Katartzis, Antonis Katartzis, Ioannis Pratikakis, Ioannis Pratikakis, Ioannis Pratikakis
 
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.