Understanding the impact of evaluation metrics in kinetic models for consensus-based segmentation
Informazioni aggiuntive
Autori
Cabini R. F.,
Tettamanti H.,
Zanella M.
Tipo
Articolo pubblicato in rivista scientifica
Anno
2025
Lingua
Inglese
Sommario
In this article, we extend a recently introduced kinetic model for consensus-based segmentation of images. In particular, we will interpret the set of pixels of a 2D image as an interacting particle system that evolves in time in view of a consensus-type process obtained by interactions between pixels and external noise. Thanks to a kinetic formulation of the introduced model, we derive the large time solution of the model. We will show that the parameters defining the segmentation task can be chosen from a plurality of loss functions that characterize the evaluation metrics.
Parole chiave
Kinetic equations, Interacting particle systems, Consensus models, Image segmentation, Clustering
Periodico
Entropy
Volume
27
Numero ( Mese )
2
Pagine (o numero dell’articolo)
149
Diffusione
Licenza
CC BY
Visibilità
Pubblico
Status open access
Gold
