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 new edition of the definitive textbook on Digital Image Processing has been completely revised and expanded with new content and improved teaching material.
Topics and features:
- Contains new chapters on automatic thresholding, filters and edge detection for color images, edge-preserving smoothing filters, non-rigid image matching, and Fourier shape descriptors.
- Includes exercises at the end of every chapter, and provides additional supplementary material at an associated website.
- Uses ImageJ for all examples, a widely used open source imaging system that can run on all major platforms and be easily ported to other programming languages.
- Describes each solution in a stepwise manner in mathematical form, as abstract pseudocode algorithms, and as complete Java programs.
- 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.
About the authors
Dr. Wilhelm Burger is a faculty member of the University of Applied Sciences Upper Austria, Hagenberg, where he serves as Director of the Digital Media degree programs at the School of Informatics, Communications and Media.
Dr. Mark J. Burge is a scientist at the non-profit organization Noblis in Falls Church, VA, USA. His other publications include the Handbook of Iris Recognition.
