DocumentCode
3050351
Title
Image segmentation using simple Markov field models
Author
Elliott, H. ; Hansen, F.R.
Author_Institution
Colorado State University, Fort Collins, CO
Volume
7
fYear
1982
fDate
30072
Firstpage
1912
Lastpage
1915
Abstract
By modelling a picture as a two-state Markov field, MAP estimation techniques are used to develop suboptimal but computationally tractable binary segmentation algorithms.
Keywords
Additive noise; Computer vision; Dynamic programming; Heuristic algorithms; Image processing; Image segmentation; Pixel; Signal to noise ratio; State estimation; Tellurium;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '82.
Type
conf
DOI
10.1109/ICASSP.1982.1171444
Filename
1171444
Link To Document