DocumentCode
3017097
Title
Segmentation of noisy images modelled by Markov random fields with Gibbs distribution
Author
El-Gabali, M. ; Shridhar, M. ; Ahmadi, Mahdi
Author_Institution
University of Windsor, Ontario, Canada
Volume
12
fYear
1987
fDate
31868
Firstpage
551
Lastpage
554
Abstract
Restoration of noisy images through the use of a Gibbs field model for the image and a Gaussian random field characterization of the corrupting noise is discussed in this paper. Two new algorithms capable of parallel implementation are presented and shown to yield satisfactory restoration of images corrupted by high levels of noise.
Keywords
Displays; Image restoration; Image segmentation; Lattices; Layout; Markov random fields; Probability distribution; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
Type
conf
DOI
10.1109/ICASSP.1987.1169695
Filename
1169695
Link To Document