Image Processing, Analysis, and Machine Vision, 3rd Edition

Description

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Image Processing, Analysis, and Machine Vision, 3rd Edition

 

By Milan Sonka, Vaclav Hlavac, Roger Boyle,

Publisher:   Cengage-Engineering
Number Of Pages:   864
Publication Date:   2007-03-19
Sales Rank:   715929
ISBN / ASIN:   049508252X
EAN:   9780495082521
Binding:   Hardcover
Manufacturer:   Cengage-Engineering
Studio:   Cengage-Engineering
Average Rating:   3.5

This robust text provides deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision. As a result, it can serve undergraduates, graduates, researchers, and professionals looking for a readable reference. The book's encyclopedic coverage of topics is wide, and it can be used in more than one course (both image processing and machine vision classes). In addition, while advanced mathematics is not needed to understand basic concepts (making this a good choice for undergraduates), rigorous mathematical coverage is included for more advanced readers. It is also distinguished by its easy-to-understand algorithm descriptions of difficult concepts, and a wealth of carefully selected problems and examples.

 
Review:

Interesting combination of topics.

I like this book. It has been very useful many times. It covers a great deal of ground. It covers topics not commonly seen together. I would recommend as an interesting perspective for computer vision researchers or as an excellent reference for those working in information retreival.

 

Review:

Useful but ....

This book is definitely NOT for new students in machien vision. This books also contains major error in stereo vision process. The mathematical formulation they have derived for stereo camera calibration is wrong and hence not possible to implement. The book does not describe any details of the method.

 

Review:

Good text but expensive in the US.

This book is OK as a rather non-mathematical introduction to image processing at an advanced undergraduate level.
The "analog" approach to signal and image processing is not covered extensively. There is more emphasis on algorithmic aspects. Frequency analysis is kept to a minimum and one-dimensional signals such as speech are not covered extensively or at all, although some aspects of analog processing are more easily explained in a 1-D context.
Maybe just as well from an image analysis/computer vision standpoint. Indeed, many other textbooks exist with more emphasis on base functions and transforms (but then they are utterly lacking in the algorithmic approach).

More down to earth, though. I know that my students would be turned off by the US price of $115. Hardly appropriate for the less affluent student ! Especially since the UK Amazon price is £37. Same ISBN. Luckily, in Europe, we can order from the UK store.

 

Review:

Good Amount of Info.

We've been using this book in the image processing class I'm taking. I've found it very useful. It covers a large range of topics and manages to cover the material with just enough detail.

Cut-and-paste coders may want to look elsewhere, since this book stays away from code examples. Instead it uses a lot of algorithms. I've had little trouble implementing the filtering and segmentation techniques described in the book.

 

Review:

not for the mechanic

This book covers a lot but if you are the practical kind who wants to know how things work and implement them fast, this is not the book for reference. Some chapters are good and are detailed and informative, while some others contain such sparse information that the atleast I was totally confused.

PASSWORD: ru-board

http://rapidshare.com/files/63540924/Image.Processing.Analysis.and.Machine.Vision.3rd.Ed-0495244384.djvu

 

http://rapidshare.com/files/63419195/SGB3rd.zip.html

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