Binary Digital Image Processing: A Discrete Approach

Author:   Stéphane Marchand-Maillet (EURECOM Institute, Sophia-Antipolis, France) ,  Yazid M. Sharaiha (Imperial College of Science, Technology, and Medicine, London, UK)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780124705050


Pages:   368
Publication Date:   01 December 1999
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Binary Digital Image Processing: A Discrete Approach


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Overview

This book 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).

Full Product Details

Author:   Stéphane Marchand-Maillet (EURECOM Institute, Sophia-Antipolis, France) ,  Yazid M. Sharaiha (Imperial College of Science, Technology, and Medicine, London, UK)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Dimensions:   Width: 17.10cm , Height: 2.10cm , Length: 24.40cm
Weight:   0.700kg
ISBN:  

9780124705050


ISBN 10:   0124705057
Pages:   368
Publication Date:   01 December 1999
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Reviews

...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


...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


Author Information

Stéphane 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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