NEW: Digital Image Processing – An Algorithmic Introduction (3rd Edition)

by Wilhelm BURGER and Mark J. BURGE. Springer Nature Switzerland (August 2022). ISBN: 978-3-031-05743-4, hardbound edition, 938 pages, 446 illustrations, full color print, eBook available.
Download: Preface and Table of Contents [PDF], Errata
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• 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.

Digital Image Processing – An Algorithmic Introduction Using Java (2nd Edition)

by Wilhelm BURGER and Mark J. BURGE. Springer, London, (April 2016). ISBN: 978-1-4471-6683-2, hardbound edition, 811 pages, 402 illustrations, full color print, eBook available.
Download: Table of Contents [PDF], Errata
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Digital Image Processing – An Algorithmic Introduction Using Java (1st Edition)

by Wilhelm BURGER and Mark J. BURGE. Springer, London (2008). ISBN 978-1-84628-968-2, hardbound edition, 564 pages, full color print, eBook available.
Download: Table of Contents [PDF], Errata
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