Article View: sci.image.processing
Article #633Re: image segmentation
From: Charles Viles
Date: Tue, 13 Oct 1992 21:56
Date: Tue, 13 Oct 1992 21:56
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1581 bytes
In article <541@highett.mel.dbce.csiro.au>, johnm@mel.dbce.csiro.au (John Mashford) writes: > In their paper "Multisensor data fusion of laser radar and forward looking > infrared (FLIR) for target segmentation and enhancement", (SPIE Vol. 782, > 1987) Tong et al., in discussing methods of threshold selection for > segmentation, write: > " ... classical estimates such as Neyman-Pearson, maximum posteriori, minimax > and maximum likelihood ... ". > > If anyone could give me some pointers to references, hints or ideas about any > of these methods of threshold selection I would be very grateful. You might take a look at the following: Sieracki, ME, SE Reichenbach, KL Webb. 1989. An evaluation of automated threshold selection methods for accuratel sizing microscopic fluorescent cells by image analysis. Applied and Environmental Microbiology 55:2762-2772. It's in a wierd place (the first author is a marine scientist, the second author is on the CS faculty at Nebraska-Lincoln), but you might find it helpful. Charlie
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arc1-ca.pugleaf.net!sparky!uunet!sun-barr!olivea!spool.mu.edu!caen!destroyer!gatech!concert!uvaarpa!murdoch!uvacs.cs.Virginia.EDU!clv2mReferences:
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Path: arc1-ca.pugleaf.net!sparky!uunet!sun-barr!olivea!spool.mu.edu!caen!destroyer!gatech!concert!uvaarpa!murdoch!uvacs.cs.Virginia.EDU!clv2m From: clv2m@uvacs.cs.Virginia.EDU (Charles Viles) Newsgroups: sci.image.processing Subject: Re: image segmentation Keywords: threshold selection Message-ID: <1992Oct13.215633.29815@murdoch.acc.Virginia.EDU> Date: 13 Oct 92 21:56:33 GMT References: <541@highett.mel.dbce.csiro.au> Sender: usenet@murdoch.acc.Virginia.EDU Organization: University of Virginia Computer Science Department Lines: 19