Morphological Markov random fields

Jens Michael Carstensen

Statistics & Probability Letters, 1994, vol. 20, issue 4, 321-326

Abstract: We introduce a set of morphologically specified Markov random fields, that extends the standard set of models by using the operators of mathematical morphology. These models capture important morphological features in images and this is illustrated by Monte Carlo simulations.

Keywords: Markov; random; fields; Image; analysis; Mathematical; morphology; Shape; Monte; Carlo; simulation (search for similar items in EconPapers)
Date: 1994
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(94)90020-5
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:20:y:1994:i:4:p:321-326

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().