Thread View: sci.image.processing
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2 total messages
Started by John Mashford
Mon, 12 Oct 1992 06:55
image segmentation
Author: John Mashford
Date: Mon, 12 Oct 1992 06:55
Date: Mon, 12 Oct 1992 06:55
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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. -- | John Mashford CSIRO Division of Building, Construction and Engineering | | Post Office Box 56, Highett, Victoria, Australia 3190 | | Internet: johnm@mel.dbce.csiro.au Tel: +61 3 252 6000 Fax: +61 3 252 6244 | |_____________________________________________________________________________| -- | John Mashford Email Internet: John.Mashford@dbce.csiro.au | | Phone: +61 3 252 6115 Fax: +61 3 252 6244 | | CSIRO, DBCE, Post Office Box 56, Highett, Victoria, Australia 3190 | |_____________________________________________________________________________|
Re: image segmentation
Author: Charles Viles
Date: Tue, 13 Oct 1992 21:56
Date: Tue, 13 Oct 1992 21:56
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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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