Geometric Partial Differential Equations and Image Analysis
| Author | : | |
| Rating | : | 4.49 (699 Votes) |
| Asin | : | 0521790751 |
| Format Type | : | paperback |
| Number of Pages | : | 440 Pages |
| Publish Date | : | 2017-04-01 |
| Language | : | English |
DESCRIPTION:
Recommended reading on Coursera, way too difficult Antoine Thibaud I purchased the book after taking Prof. Sapiro's excellent course on Coursera. While I loved, and followed pretty well, the class, this book was way over my head.. A Customer said Not really a good book. well, I bought this book to learn image analysis using pde andthis 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 writte. Sapiro is smart! Too bad Minnesota is so cold. Maybe we can buy him some glovesand get another good book out him
"enjoyable to readan 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
Applications covered include image segmentation, shape analysis, image enhancement, and tracking. It brings a number of new concepts into the field, providing a very fundamental and formal approach to image processing. This book provides an introduction to the use of geometric partial differential equations in image processing and computer vision. The volume provides information for people investigating new solutions to image processing problems as well as for people searching for existent advanced solutions.. State-of-the-art practical results in a large number of real problems are achieved with the techniques described
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.