A BOND PERCOLATION-BASED MODEL FOR IMAGE SEGMENTATION

Authors
HUSSAIN I REED TR
Citation
I. Hussain et Tr. Reed, A BOND PERCOLATION-BASED MODEL FOR IMAGE SEGMENTATION, IEEE transactions on image processing, 6(12), 1997, pp. 1698-1704
Citations number
14
Categorie Soggetti
Computer Sciences, Special Topics","Engineering, Eletrical & Electronic","Computer Science Software Graphycs Programming","Computer Science Theory & Methods
Journal title
IEEE transactions on image processing → ACNP
ISSN journal
10577149
Volume
6
Issue
12
Year of publication
1997
Pages
1698 - 1704
Database
ISI
SICI code
1057-7149(1997)6:12<1698:ABPMFI>2.0.ZU;2-Q
Abstract
This work presents a novel bond percolation-based approach to determin e the clique potential parameters of a Gibbs-Markov model as a functio n of local characteristics of the underlying image, Using the renormal ization group transformation, a multiscale description of the clique p otential parameters is formed and used to obtain multiresolution image segmentation.