Multiband segmentation based on a hierarchical Markov model

Christophe Collet, Fionn Murtagh

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


We develop a new multiscale Markov segmentation model for multiband images. Using quadtree multiple resolution analysis of a multiband image, we use both inter- and intra-scale spatial Markov statistical dependencies. Bayesian inference is used to assess the appropriate number of segments. We exemplify the excellent results which can be obtained with this approach using synthetic images, and in two case studies involving multiband astronomical image sets.

Original languageEnglish
Pages (from-to)2337-2347
Number of pages11
JournalPattern Recognition
Issue number12
Early online date20 Jul 2004
Publication statusPublished - 1 Dec 2004
Externally publishedYes

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