Level Set and PDE Based Reconstruction Methods in Imaging [electronic resource] : Cetraro, Italy 2008, Editors: Martin Burger, Stanley Osher / by Martin Burger, Andrea C.G. Mennucci, Stanley Osher, Martin Rumpf.

By:

Burger, Martin [author.]

Contributor(s):

Series: Lecture Notes in Mathematics ; 2090Publisher: Cham : Springer International Publishing : Imprint: Springer, 2013Description: VII, 319 p. 88 illus., 40 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319017129

Subject(s):

Additional physical formats: Printed edition:: No titleDDC classification:

515.353 23

LOC classification:

QA370-380

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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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
E-Books	Central Library, IISER Bhopal	515.353 (Browse shelf(Opens below))	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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