Digital Image Processing: An Algorithmic Introduction, 3rd Edition

Digital Image Processing: An Algorithmic Introduction, 3rd Edition

English | 2022 | ISBN: 978-3031057434 | 970 Pages | PDF | 100 MB

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.