DocumentCode
3061432
Title
Non-supervised segmentation using multi-level Markov random fields
Author
Azencott, R. ; Graffigne, C.
Author_Institution
Universite. de Paris-Sud, Orsay, France
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
201
Lastpage
204
Abstract
Presents a region growing algorithm based on multi-level Markov random fields. The lower level is pixel-based and the higher ones are region-based, the region mean size increasing with the complexity level. The higher level algorithm has the particularity to allow the use of global geometric region information
Keywords
Markov processes; image segmentation; global geometric region information; image segmentation; multi-level Markov random fields; pixel-based; region growing algorithm; region-based; unsupervised segmentation; Feeds; Image segmentation; Layout; Markov random fields; Merging; Multispectral imaging; Nearest neighbor searches; Noise level; Pattern recognition; Satellites;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2920-7
Type
conf
DOI
10.1109/ICPR.1992.201961
Filename
201961
Link To Document