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DATA MODELING IN SCIENTIFIC IMAGES USING SIMULATED ANNEALING

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Author
Parker, J.R.
Groisman, G.
Accessioned
2008-05-08T18:40:58Z
Available
2008-05-08T18:40:58Z
Computerscience
1999-05-27
Issued
1993-02-01
Subject
Computer Science
Type
unknown
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Abstract
One way to measure objects in some classes of scientific image is to model the objects by functions and then make the measurements on the functions. This works especially well for images that contain information in the form of relationships between grey level pixels. Here, the use of a Moffat function as a data model is explored, as is the use of simulated annealing to fit many instances of this function to the data in the image. Two examples are presented: stellar photometry, a natural application for the Moffat function, and reading DNA sequencing gels.
Notes
We are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.ca
Corporate
University of Calgary
Faculty
Science
Doi
http://dx.doi.org/10.11575/PRISM/30935
Uri
http://hdl.handle.net/1880/46423
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