Digital Geometry: Geometric Methods for Digital Image Analysis...

Features

• Cover Type: Hard Cover with 672 pages
• Published by: Morgan Kaufmann
• Edition: 1st Edition August 6, 2004
• Written in: English
• ISBN 10 Number: 1558608613
• ISBN 13 Number: 978-1558608610
• Book Dimensions: 9.1 x 7.3 x 1.7 inches
• Weighs: 3.4 pounds

Product 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

Book Description
Digital geometry is about deriving geometric information from digital pictures. The field emerged from its mathematical roots some forty-years ago through work in computer-based imaging, and it is used today in many fields, such as digital image processing and analysis (with applications in medical imaging, pattern recognition, and robotics) and of course computer graphics. Digital Geometry is the first book to detail the concepts, algorithms, and practices of the discipline. This comphrehensive text and reference provides an introduction to the mathematical foundations of digital geometry, some of which date back to ancient times, and also discusses the key processes involved, such as geometric algorithms as well as operations on pictures.

*A comprehensive text and reference written by pioneers in digital geometry, image processing and analysis, and computer vision
*Provides a collection of state-of-the-art algorithms for a wide variety of geometrical picture analysis tasks, including extracting data from digital images and making geometric measurements on the data
*Includes exercises, examples, and references to related or more advanced work

Reader Reviews
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. Comment | | (Report this)