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Level Set and PDE Based Reconstruction Methods in Imaging [electronic resource] :Cetraro, Italy 2008, Editors: Martin Burger, Stanley Osher /

by Burger, Martin [author.]; Mennucci, Andrea C.G [author.]; Osher, Stanley [author.]; Rumpf, Martin [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Mathematics: 2090Publisher: Cham : Springer International Publishing : 2013.Description: VII, 319 p. 88 illus., 40 illus. in color. online resource.ISBN: 9783319017129.Subject(s): Mathematics | Computer vision | Differential equations, partial | Computer science -- Mathematics | Mathematics | Partial Differential Equations | Computational Mathematics and Numerical Analysis | Image Processing and Computer VisionDDC classification: 515.353 Online resources: Click here to access online
Contents:
A Guide to the TV Zoo -- EM-TV methods for inverse problems with Poisson noise -- Variational Methods in Image Matching and Motion Extraction -- Metrics of Curves in Shape Optimization and Analysis.
In: Springer eBooksSummary: This book takes readers on a tour through modern methods in image analysis and reconstruction based on level set and PDE techniques, the major focus being on morphological and geometric structures in images. The aspects covered include edge-sharpening image reconstruction and denoising, segmentation and shape analysis in images, and image matching. For each, the lecture notes provide insights into the basic analysis of modern variational and PDE-based techniques, as well as computational aspects and applications.
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E-Books E-Books Central Library, IISER Bhopal

 

OPAC URL: http://webopac.iiserb.ac.in/

515.353 (Browse shelf) Not for loan

A Guide to the TV Zoo -- EM-TV methods for inverse problems with Poisson noise -- Variational Methods in Image Matching and Motion Extraction -- Metrics of Curves in Shape Optimization and Analysis.

This book takes readers on a tour through modern methods in image analysis and reconstruction based on level set and PDE techniques, the major focus being on morphological and geometric structures in images. The aspects covered include edge-sharpening image reconstruction and denoising, segmentation and shape analysis in images, and image matching. For each, the lecture notes provide insights into the basic analysis of modern variational and PDE-based techniques, as well as computational aspects and applications.

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