Multivalued label diffusion for semi-supervised segmentation

Diffusion methods have proven their efficiency for tasks such as semi-supervised segmentation. The introduction of patches as a part of their speed function allows to deal with textured images. However, the computational burden with such variants stays too important for low-level tasks. In this paper, we propose a multivalued color-based potential function that partly alleviates this flaw. It allows to efficiently perform semi-supervised segmentation of natural and textured images.