Fast Unsupervised Bayesian Image Segmentation With Adaptive Spatial Regularisation
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2675165
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… read more here.
Keywords: methodology; regularisation; image; spatial regularisation ... See more keywords