Publication Details
Overview
 
 
Jan Cornelis, Jan Cornelis, Jan Cornelis, Edgard Nyssen, Edgard Nyssen, Edgard Nyssen, Antonis Katartzis, Antonis Katartzis, Antonis Katartzis, Luc van Kempen, Luc van Kempen, Luc van Kempen, Piet Boekaerts, Piet Boekaerts, Piet Boekaerts, Rudi Deklerck, Rudi Deklerck, Rudi Deklerck, Alexandru Ioan Salomie, Alexandru Ioan Salomie, Alexandru Ioan Salomie
 

Chapter in Book/ Report/ Conference proceeding

Abstract ■

Three classes of statistical techniques used to solve image segmentation and labelling problems are reviewed: (1) supervised and unsupervised pixel classification, (2) exploitation of the probability distribution map as a way to model image structure, (3) Markov random field modelling combined with MAP statistical classification. Diverse examples illustrate the potential of the three approaches that are described as generic methods belonging to a common framework for image segmentation/labelling

Reference ■