Digital Image Processing: An Algorithmic Introduction (Texts in Computer Science) - Hardcover

Burger, Wilhelm; Burge, Mark J.

Hardcover

ISBN 10: 3031057430 ISBN 13: 9783031057434

Publisher: Springer, 2022

Synopsis

This modern, self-contained textbook provides an accessible introduction to the field from the perspective of a practicing programmer, supporting a detailed presentation of the fundamental concepts and techniques with practical exercises and fully worked out implementation examples. This much-anticipated 3rd edition of the definitive textbook on Digital Image Processing has been completely revised and expanded with new content, improved illustrations and teaching material.

Topics and features:

• 
  
• Contains new chapters on fitting of geometric primitives, randomized feature detection (RANSAC), and maximally stable extremal regions (MSER).
• Includes exercises for most chapters and provides additional supplementary
• materials and software implementations at an associated website.
• Uses ImageJ for all examples, a widely used open source imaging environment that
• can run on allmajor platforms.
• Describes each solution in a stepwise manner in mathematical form, as abstract pseudocode algorithms, and as complete Java programs that can be easily ported to other programming languages.
• Presents suggested outlines for a one- or two-semester course in the preface.

Advanced undergraduate and graduate students will find this comprehensive and example-rich textbook will serve as the ideal introduction to digital image processing. It will also prove invaluable to researchers and professionals seeking a practically focused self-study primer.

About this title

About the Author

Dr. Wilhelm Burger is a faculty member of the University of Applied Sciences Upper Austria, Hagenberg, where he serves as Director of the Digital Media degree programs at the School of Informatics, Communications and Media.

Dr. Mark J. Burge is a scientist at the non-profit organization Noblis in Falls Church, VA, USA. His other publications include the Handbook of Iris Recognition.

From the Back Cover

This modern, self-contained textbook provides an accessible introduction to the field from the perspective of a practicing programmer, supporting a detailed presentation of the fundamental concepts and techniques with practical exercises and fully worked out implementation examples. This much-anticipated 3rd edition of the definitive textbook on digital image processing has been completely revised and expanded with new content, improved illustrations and teaching material.

Topics and features:

• Contains new chapters on fitting of geometric primitives, randomized feature detection (RANSAC), and maximally stable extremal regions (MSER)
• Includes exercises for most chapters and provides additional supplementary materials and software implementations at an associated website
• Uses ImageJ for all examples, a widely used open source imaging environment that can run on all major platforms
• Describes each solution in a stepwise manner in mathematical form, as abstract pseudocode algorithms, and as complete Java programs that can be easily ported to other programming languages
• Presents suggested outlines for a one- or two-semester course in the preface

Advanced undergraduate and graduate students will find this comprehensive and example-rich textbook will serve as the ideal introduction to digital image processing. It will also prove invaluable to researchers and professionals seeking a practically focused self-study primer.

Dr. Wilhelm Burger is an emeritus of the University of Applied Sciences Upper Austria at

Hagenberg, where he served as Head of the Digital Media degree programs at the School of

Informatics, Communications and Media.

Dr. Mark J. Burge is the Senior Advisor for Artificial Intelligence at the Federal Bureau of

Investigation, Washington, DC, USA. His other publications include the Handbook of Iris

Recognition.

Edition details

• Publisher: Springer
• Publication date: 2022
• Language: English
• ISBN 10: 3031057430
• ISBN 13: 9783031057434
• Binding: Hardcover
• Edition number: 3
• Number of pages: 970