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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: Contributor(s): Material type: TextTextSeries: 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:
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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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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