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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.

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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.

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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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Series Name:ASP Conference Series
Issue or Number:347
Record Number:CaltechAUTHORS:20110810-144328027
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:24790
Deposited By: Tony Diaz
Deposited On:15 Sep 2011 20:40
Last Modified:03 Oct 2019 03:00

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