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Geometric Partial Differential Equations and Image Analysis [Hardcover]

Guillermo Sapiro (Author)
3.0 out of 5 stars  See all reviews (2 customer reviews)


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Book Description

0521790751 978-0521790758 January 8, 2001 1
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.


Editorial Reviews

Review

"...enjoyable to read...an excellent introduction for someone interested in pursuing research in this area, with ample references to current work sprinkled throughout." SIAM Review

"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

Book Description

This book provides an introduction to the use of geometric partial differential equations in image processing and computer vision. State-of-the-art practical results in a large number of real problems are achieved with the techniques described in this book. Applications covered include image segmentation, shape analysis, image enhancement, and tracking. This book will be a useful resource for researchers and practioners. It is intened to provide information for people investigating new solutions to image processing problems as well as for people searching for existent advanced solutions.

Product Details

  • Hardcover: 440 pages
  • Publisher: Cambridge University Press; 1 edition (January 8, 2001)
  • Language: English
  • ISBN-10: 0521790751
  • ISBN-13: 978-0521790758
  • Product Dimensions: 9.6 x 6.2 x 0.9 inches
  • Shipping Weight: 1.5 pounds
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #3,615,039 in Books (See Top 100 in Books)

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Average Customer Review
3.0 out of 5 stars (2 customer reviews)
 
 
 
 
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24 of 27 people found the following review helpful:
1.0 out of 5 stars Not really a good book, March 15, 2002
By A Customer
This review is from: Geometric Partial Differential Equations and Image Analysis (Hardcover)
well, I bought this book to learn image analysis using pde and
this book is not what I expected and unfortuanetly I ended up paying lots of money for it. The only use it has had so far is for me to know a topic's name and look for the mathematical definitions and implementation methods online. Most of the times, it is not clear what it's talking about, does not include real clarifying examples, it jumps from one kind of notation to another kind in the middle of explanation and the math at times is not clear and well written. Definitely not what you would expect from a book which invloves many fomulas/theories and proofs.
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5 of 28 people found the following review helpful:
5.0 out of 5 stars Sapiro is smart!, February 19, 2003
By A Customer
This review is from: Geometric Partial Differential Equations and Image Analysis (Hardcover)
Too bad Minnesota is so cold. Maybe we can buy him some gloves
and get another good book out him...
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Inside This Book (learn more)
First Sentence:
The goal of this chapter is twofold: first, to provide the basic mathematical background needed to read the rest of this book, and second, to give the reader the basic background and motivation to learn more about the topics covered in this chapter by use of, for example, the referenced books and papers. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
affine heat flow, curve evolution flow, geometric heat flow, global histogram modification, invariant edge detector, curvature evolution equation, local histogram modification, geometric partial differential equations, anisotropic diffusion flow, gradient descent flow, spatial coherence constraints, affine curvature, affine invariant flow, affine arc length, multivalued images, curve evolution process, global histogram equalization, local contrast enhancement, propagating curve, linear heat flow, anisotropie diffusion, geodesic model, geodesic active contours, scalar images, anisotropic diffusion equation
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Geometric Partial, Analysis Fig, Ronny Kimmel
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