Understanding the impact of evaluation metrics in kinetic models for consensus-based segmentation
Published in:
- Entropy. - 2025, vol. 27, no. 2, p. 149
English
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.
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CC BY
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gold
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https://n2t.net/ark:/12658/srd1331832
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