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Image Segmentation and Denoising Based on Shrira-Pesenson Equation

Pesenson, M. and Moshir, M. and Makovoz, D. and Frayer, D. and Henderson, D. (2005) Image Segmentation and Denoising Based on Shrira-Pesenson Equation. In: Astronomical Data Analysis Software and Systems XIV. ASP Conference Series. No.347. Astronomical Society of the Pacific , San Francisco, CA, pp. 153-157. ISBN 1-58381-215-6 http://resolver.caltech.edu/CaltechAUTHORS:20110810-144328027

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Abstract

We propose a nonlinear partial differential equation to control the trade-off between smoothing and segmentation of images. Its solutions approximate discontinuities, thus leading to detection of sharp boundaries in images. The performance of the approach is evaluated by applying it to images obtained by the Multiband Imaging Photometer for Spitzer (MIPS), 70μm imaging band.


Item Type:Book Section
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http://aspbooks.org/a/volumes/article_details/?paper_id=2891PublisherUNSPECIFIED
Additional Information:© 2005 Astronomical Society of the Pacific. This work was carried out at the Spitzer Science Center, with funding from NASA under contract 1407 to the California Institute of Technology and the Jet Propulsion Laboratory. One of us (M.P.) wants to thank Tetsuyasu Uekuma for his insights and encouragement.
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Funding AgencyGrant Number
NASA1407
Record Number:CaltechAUTHORS:20110810-144328027
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20110810-144328027
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:24790
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:15 Sep 2011 20:40
Last Modified:07 Nov 2013 19:15

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