Digital Geometry: Geometric Methods for Digital Picture Analysis [Hardcover]

Reinhard Klette (Author), Azriel Rosenfeld (Author)

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Product Details

Hardcover: 672 pages
Publisher: Morgan Kaufmann; 1 edition (Aug 6 2004)
Language: English
ISBN-10: 1558608613
ISBN-13: 978-1558608610
Product Dimensions: 24.2 x 19.7 x 4.3 cm
Shipping Weight: 1.5 Kg
Amazon Bestsellers Rank: #715,884 in Books (See Top 100 in Books)

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Review

"[This is] a serious work. The authors have made a huge effort to present the major problems of digital geometry...It will be a very useful resource for a diversity of readers from engineers to mathematicians and from undergraduate students to scientists at the highest level."-Dr. Jovisa Zunic, Cardiff University "This book would be a great asset for professionals in the field of picture analysis, and would be ideal as a textbook in graduate courses on that subject. One must note that the book uses a standard mathematical/technical language, instead of image processing jargon, and thus is very appropriate for those engineers and scientists in other specialties who need to learn about, and work with, computer pictures." - Computing Reviews

Book Description

The first book on digital geometry by the leaders in the field

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Inside This Book (Learn More)

First Sentence
This book deals with the concepts, methods, and algorithms of digital geometry. Read the first page

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Concordance

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Front Cover | Copyright | Table of Contents | Excerpt | Index

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Most Helpful Customer Reviews on Amazon.com ^(beta)

Amazon.com: 5.0 out of 5 stars (2 customer reviews)

6 of 7 people found the following review helpful

5.0 out of 5 stars A great book on Digital Geometry, Aug 8 2005

By Longin Jan Latecki - Published on Amazon.com

This review is from: Digital Geometry: Geometric Methods for Digital Picture Analysis (Hardcover)

This is the first comprehensive overview of the research in Digital Geometry. It documents over fifty years of a very active research field. Digital Geometry has resulted and accompanied the research in Computer Vision. The scope of this book is very large; it clarifies, summarizes, and unifies the results reported in over 1000 research papers.

This book is very well written.

The introduction is great, since it shows the connection to other research fields in mathematics and computer science. It also clearly defines the basic concepts of Digital Geometry that are the underlying concepts in image processing, computer vision, and computer graphics. Most books in these fields do not define these concepts at all.

I see this book as very suitable for the first part of courses on Image Processing and Computer Vision, since it provides a clear definition of the underlying structure of digital images.

I also strongly recommend this book to graduate and undergraduate students of Mathematics and Computer Science who want a clearly written introduction to the underlying concepts of computer vision and computer graphics.

2 of 2 people found the following review helpful

5.0 out of 5 stars An Excellent Book, Sep 16 2009

By Li Chen - Published on Amazon.com

This review is from: Digital Geometry: Geometric Methods for Digital Picture Analysis (Hardcover)

It is an excellent book for computer science, mathematics, and
engineering researchers. The book can also be used as a very good
textbook for graduate courses and certain sections would be good for
some senior undergraduate courses (for example, the first part of the
book). Focusing on the needs of real world applications, the authors
try to build a solid mathematical foundation for image processing and
computer vision. The relationship between digital geometry and
computational geometry is also well described by the many practical
algorithms from computational geometry that are embedded in digital
geometry. Some computer graphics methods are also covered. Chapters
1-8 cover basic digital geometry; Chapters 9-16 cover special topics.
Chapter 17 deals with the statistical and geometrical properties of
digital pictures and may be treated as an Appendix. All of these
aspects make this book a comprehensive and self-contained.

› Go to Amazon.com to see both reviews 5.0 out of 5 stars