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Image Processing, Analysis, and Machine Vision Hardcover – March 19, 2007

ISBN-13: 978-0495082521 ISBN-10: 049508252X Edition: 3rd
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Editorial Reviews

About the Author

Milan Sonka is Professor of Electrical and Computer Engineering at the University of Iowa. His research interests include medical image analysis, computer-aided diagnosis, and machine vision.

Vaclav Hlavac is Professor of Cybernetics at the Czech Technical University, Prague. his research interests are knowledge based image analysis, 3D model-based vision and relations between statistical and structural pattern recognition.

Roger Boyle is Professor Emeritus of Computing and was Head of the School of Computing at the University of Leeds, England where his research interests are low-level vision and pattern recognition.
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Product Details

  • Hardcover: 872 pages
  • Publisher: Cengage Learning; 3 edition (March 19, 2007)
  • Language: English
  • ISBN-10: 049508252X
  • ISBN-13: 978-0495082521
  • Product Dimensions: 9.2 x 8.3 x 1.5 inches
  • Shipping Weight: 3.7 pounds
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (12 customer reviews)
  • Amazon Best Sellers Rank: #1,708,949 in Books (See Top 100 in Books)

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Customer Reviews

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Most Helpful Customer Reviews

15 of 15 people found the following review helpful By Franklin Vermeulen on November 4, 2003
Format: Hardcover
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.
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14 of 15 people found the following review helpful By calvinnme HALL OF FAMETOP 1000 REVIEWERVINE VOICE on November 6, 2007
Format: Hardcover
I really love this book as far as having many algorithms in the area of image analysis and computer vision spelled out in both mathematical terms and algorithmic steps. Just about every subsection of the book has the format of mathematical equations that perform a particular vision task followed by the algorithm in numbered steps and accompanied by very good figures. What is lacking is any explanation on what is going on as well as a "big picture" viewpoint - why would you want to perform this transform in the first place? For those of us who know the whys and just need the hows, this is a great book. For the novice and the student, I can just imagine this book would be incomprehensible as a textbook. This book is also recommended to students taking a college course in robotics. Most robotics texts give you plenty of narrative on subjects such as the kalman filter or particle filter, but fail to deliver the goods on how to do it. This book gets you there. The product description does not list the table of contents, so I do that next. Note that I am reviewing the third edition, published in 2007.

1. Introduction
Motivation / Why is Computer Vision Difficult? / Image Representation and Image Analysis Tasks / Summary / References

2. The Image, its Representations and Properties
Image Representations, a Few Concepts / Image Digitization / Sampling / Quantization / Digital Image Properties / Metric and Topological Properties of Digital Images / Histograms / Entropy / Visual Perception of the Image / Image Quality / Noise in Images / Color Images / Physics of Color / Color Perceived by Humans / Color Spaces / Palette Images / Color Constancy / Cameras: An Overview / Photosensitive Sensors / A Monochromatic Camera / A Color Camera / Summary / References

3.
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5 of 5 people found the following review helpful By A Customer on December 1, 2002
Format: Hardcover
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.
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15 of 19 people found the following review helpful By Myles Hocking on July 9, 1999
Format: Hardcover
I found this book too mathematical and very sparse when actually trying to help myself on an image processing course. It covers quite a lot of ground, but there's almost more math than english. You get the feeling the authors are very comfortable with this, and to be honest if you have done a maths-based degree it'll be fine for you. But then again, you may find it treats topics lightly and constantly refers to other papers, as if you live in a good science library or something.
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10 of 14 people found the following review helpful By D. S Shrestha on July 28, 2004
Format: Hardcover
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.
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Format: Hardcover Verified Purchase
This book is very useful for me to get through image analysis. I love this book and this area. Thank you very much!
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