Digital Image Processing: An Algorithmic Introduction (Paperback) (ISBN-13: 9783031063435)

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:

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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 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.

Author: Wilhelm Burger, Mark J. Burge
ISBN-10: 3031063430
ISBN-13: 9783031063435
Publisher: Springer
Language: English
Published: 07/24/2023
Pages: 945
Format: Paperback
Weight: 3.63lbs
Size: 10.00h x 7.00w x 1.91d