A kinetic approach to consensus-based segmentation of biomedical images

arXiv:2211.05226v2 Announce Type: replace-cross
Abstract: In this work, we apply a kinetic version of a bounded confidence consensus model to biomedical segmentation problems. In the presented approach, time-dependent information on the microscopic state of each particle/pixel includes its space position and a feature representing a static characteristic of the system, i.e. the gray level of each pixel. From the introduced microscopic model we derive a kinetic formulation of the model. The large time behavior of the system is then computed …

abstract apply arxiv biomedical confidence consensus cs.cv eess.iv feature images information particle pixel replace segmentation space state type work