This textbook is the third of three volumes which provide a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and concrete implementations of the most important techniques. This volume builds upon the introductory material presented in the first two volumes with additional key concepts and methods in image processing. Features: practical examples and carefully constructed chapter-ending exercises; real implementations, concise mathematical notation, and precise algorithmic descriptions designed for programmers and practitioners; easily adaptable Java code and completely worked-out examples for easy inclusion in existing applications; uses ImageJ; provides a supplementary website with the complete Java source code, test images, and corrections; additional presentation tools for instructors including a complete set of figures, tables, and mathematical elements.
This third volume in the authors’ Principles of Digital Image Processing series
presents a thoughtful selection of advanced topics. Unlike our first two volumes,
this one delves deeply into a select set of advanced and largely independent
topics. Each of these topics is presented as a separate module which can be
understood independently of the other topics, making this volume ideal for
readers who expect to work independently and are ready to be exposed to
the full complexity (and corresponding level of detail) of advanced, real-world