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.
Mihai, C, Vanhamel, I, Sahli, H, Katartzis, A & Pratikakis, I 2007, 'Scale selection for compact scale-space representation of vector-valued images', Lecture Notes in Computer Science, vol. 4485, pp. 32-42.
Mihai, C., Vanhamel, I., Sahli, H., Katartzis, A., & Pratikakis, I. (2007). Scale selection for compact scale-space representation of vector-valued images. Lecture Notes in Computer Science, 4485, 32-42.
@article{e91e514a879a4d0ba4082c6b9d7edd58,
title = "Scale selection for compact scale-space representation of vector-valued images",
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.",
keywords = "PDE, Scale space, Image enhancement, Scale selection, Scale discretization, Nonlinear PDE",
author = "Cosmin Mihai and Iris Vanhamel and Hichem Sahli and Antonios Katartzis and Ioannis Pratikakis",
year = "2007",
month = jun,
day = "2",
language = "English",
volume = "4485",
pages = "32--42",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Verlag",
note = "SSVM 2007 - First International Conference ; Conference date: 30-05-2007 Through 02-06-2007",
}