Digital image processing : an algorithmic introduction using Java
By: Burger, Wilhelm
Title By: Burger, Mark J
Material type:![](/opac-tmpl/lib/famfamfam/BK.png)
Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
REGULAR | University of Wollongong in Dubai Main Collection | 621.367 BU DI (Browse shelf) | Available | T0054500 |
Includes bibliographical references (p. 543-548) and index.
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.