Binary Digital Image Processing
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Binary Digital Image Processing : A Discrete Approach

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Description

Binary Digital Image Processing is aimed at faculty, postgraduate students and industry specialists. It is both a text reference and a textbook that reviews and analyses the research output in this field of binary image processing. It is aimed at both advanced researchers as well as educating the novice to this area. The theoretical part of this book includes the basic principles required for binary digital image analysis. The practical part which will take an algorithmic approach addresses problems which find applications beyond binary digital line image processing.
The book first outlines the theoretical framework underpinning the study of digital image processing with particular reference to those needed for line image processing. The theoretical tools in the first part of the book set the stage for the second and third parts, where low-level binary image processing is addressed and then intermediate level processing of binary line images is studied. The book concludes with some practical applications of this work by reviewing some industrial and software applications (engineering drawing storage and primitive extraction, fingerprint compression).
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Product details

  • Hardback | 368 pages
  • 173.7 x 251.7 x 21.1mm | 761.4g
  • Academic Press Inc
  • San Diego, United States
  • English
  • 0124705057
  • 9780124705050

Review quote

"...it has value as a tutorial and as a reference volume. The many illustrations and examples make the material easy to follow and visualize. ...it offers an extensive set of references ...a good starting point for those who want to enter the topic and the do further research." --CHOICE, July/August 2000

"They [the authors] divide the book in three parts, as follows: the first three chapters set the theoretical context; the next three chapters present operators that will be the basic tools used in image processing applications; the last two chapters present definitions of operators on pixel sets or image components." --MATHEMATICAL REVIEWS, 2000
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Table of contents

Digital topology
Discrete geometry
Algorithmic graph theory
Acquisition and storage
Distance transformations
Binary digital image characteristics
Image thinning
Some applications
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About Stephane Marchand-Maillet

Stephane Marchand-Maillet is affiliated with the Department of Multimedia Communications at Institut Eurecom, Sophia-Antipolis, France - a consortium between academic and industrial partners. Yazid M. Sharaiha received his B.Sc. (Eng) and PhD (1991)from Imperial College, London. He also holds Master degrees in Engineering (1987) and Management Science (1988) from University of California, Berkeley and Imperial College respectively. He was a University Lecturer in Information Management at Imperial College from 1991 to 1997. He is currently a visiting fellow at Imperial College and working in Quantitative Strategies at Morgan Stanley Dean Witter. His research publications and interests include combinatorial optimisation, graph theory, computational geometry, and their applications in image analysis, scheduling and financial modeling.
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