C. Kervrann, F. Heitz. A Markov Random field model-based approach to unsupervised texture segmentation using local and global spatial statistics. Rapport de Recherche IRISA, No 752, October 1993.
Download paper:
Gziped Postscript
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.
@TechReport{Kervrann93b,
Author = {Kervrann, C. and Heitz, F.},
Title = {A Markov Random field model-based approach to unsupervised texture segmentation using local and global spatial statistics},
Number = {752},
Institution = {IRISA},
Month = {October},
Year = {1993}
}
Get EndNote Reference (.ref)
This document was translated automatically from BibTEX by bib2html (Copyright 2003 © Eric Marchand, INRIA, Vista Project).
