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Digital Image Processing: An Algorithmic Introduction
Paperback
Technology & EngineeringProgramming
ISBN13: 9783031063435
Publisher: Springer
Published: Jul 24 2023
Pages: 945
Weight: 3.63
Height: 1.91 Width: 7.00 Depth: 10.00
Language: English
- 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.
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