Category: MATLAB

Disjunctive Normal Parametric Level Set With Application to Image Segmentation

Disjunctive Normal Parametric Level Set With Application to Image Segmentation  Abstract: Level set methods are widely used for image segmentation because of their convenient shape representation for numerical computations and capability to handle topological changes. However, in spite of the numerous works in the literature, the use of level set methods in image segmentation still […]


Fast Unsupervised Bayesian Image Segmentation With Adaptive Spatial Regularisation

Fast Unsupervised Bayesian Image Segmentation With Adaptive Spatial Regularisation  Abstract: This paper presents a new Bayesian estimation technique for hidden Potts-Markov random fields with unknown regularisation parameters, with application to fast unsupervised K-class image segmentation. The technique is derived by first removing the regularisation parameter from the Bayesian model by marginalisation, followed by a small-variance-asymptotic […]