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A Parallel Algorithm for Stochastic Image Segmentation

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2 Author(s)
Don, H.-S. ; School of Electrical Engineering, Purdue University, West Lafayette, IN 47907; Department of Electrical Engineering, State University of New York, Stony Brook, NY 11794. ; King-Sun Fu

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.

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Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:PAMI-8 ,  Issue: 5 )