Digital Image Processing: An Algorithmic Introduction, 3rd Edition


Digital Image Processing: An Algorithmic Introduction Using Java (Texts in Computer Science)
Author: Wilhelm Burger and Mark J. Burge
Publisher Finelybook 出版社: ‎; 3rd ed. 2022 edition (24 July 2022)
Language 语言: ‎English
pages 页数: ‎970 pages
ISBN-10 书号: ‎3031057430
ISBN-13 书号: ‎9783031057434


Book Description
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.

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