DocumentCode :
1124386
Title :
A Parallel Algorithm for Stochastic Image Segmentation
Author :
Don, Hon-Son ; Fu, King-Sun
Author_Institution :
School of Electrical Engineering, Purdue University, West Lafayette, IN 47907; Department of Electrical Engineering, State University of New York, Stony Brook, NY 11794.
Issue :
5
fYear :
1986
Firstpage :
594
Lastpage :
603
Abstract :
A parallel algorithm for syntactic image segmentation is introduced. Stochastic tree grammar is used as a context-generating model. It is shown that when this context-generating process is in the equilibrium state, a matched filter can be designed and applied in parallel to the image. This process can be used for image segmentation in a syntactic pattern recognition system to enhance the performance of the succeeding recognition process.
Keywords :
Context modeling; Image analysis; Image recognition; Image segmentation; Matched filters; Parallel algorithms; Pattern analysis; Pattern recognition; Stochastic processes; Tree graphs; Image segmentation; matched filter; stochastic tree grammar; syntactic pattern recognition;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.1986.4767834
Filename :
4767834
Link To Document :
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