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.
General
| Imprint: |
Springer International Publishing AG
|
| Country of origin: |
Switzerland |
| Release date: |
July 2023 |
| First published: |
2022 |
| Authors: |
Wilhelm Burger
• Mark J. Burge
|
| Dimensions: |
254 x 178mm (L x W) |
| Pages: |
945 |
| Edition: |
3rd ed. 2022 |
| ISBN-13: |
978-3-03-106343-5 |
| Categories: |
Books
|
| LSN: |
3-03-106343-0 |
| Barcode: |
9783031063435 |
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