Geometric Partial Differential Equations And Image Analysis by Guillermo SapiroGeometric Partial Differential Equations And Image Analysis by Guillermo Sapiro

Geometric Partial Differential Equations And Image Analysis

byGuillermo Sapiro

Paperback | February 13, 2006

Pricing and Purchase Info


Earn 317 plum® points

Prices and offers may vary in store


In stock online

Ships free on orders over $25

Not available in stores


This book provides an introduction to the use of geometric partial differential equations in image processing and computer vision. It brings a number of new concepts into the field, providing a very fundamental and formal approach to image processing. State-of-the-art practical results in a large number of real problems are achieved with the techniques described. Applications covered include image segmentation, shape analysis, image enhancement, and tracking. The volume provides information for people investigating new solutions to image processing problems as well as for people searching for existent advanced solutions.
Guillermo Sapiro is a Professor of Electrical and Computer Engineering at the University of Minnesota, where he works on differential geometry and geometric partial differential equations, both in theory and applications in computer vision and image analysis.
Title:Geometric Partial Differential Equations And Image AnalysisFormat:PaperbackDimensions:412 pages, 8.98 × 5.98 × 0.91 inPublished:February 13, 2006Publisher:Cambridge University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0521685079

ISBN - 13:9780521685078


Table of Contents

1. Basic mathematical background; 2. Geometric curve and surface evolution; 3. Geodesic curves and minimal surfaces; 4. Geometric diffusion of scalar images; 5. Geometric diffusion of vector valued images; 6. Diffusion on non-flat manifolds; 7. Contrast enhancement; 8. Additional theories and applications.

Editorial Reviews

"I think that every person interested in image analysis by partial differential equations or related fields, such as differential geometry and curve evolution, should read this book." Mathematics of Computation