Digital Image Processing: An Algorithmic Introduction Using Java de Wilhelm Burger

Digital Image Processing: An Algorithmic Introduction Using Java: Texts in Computer Science

Autor Wilhelm Burger, Mark J. Burge

en Limba Engleză Hardback – 7 apr 2016

This revised and expanded new edition of an internationally successful classic presents an accessible introduction to the key methods in digital image processing for both practitioners and teachers. Emphasis is placed on practical application, presenting precise algorithmic descriptions in an unusually high level of detail, while highlighting direct connections between the mathematical foundations and concrete implementation.

The text is supported by practical examples and carefully constructed chapter-ending exercises drawn from the authors' years of teaching experience, including easily adaptable Java code and completely worked out examples. Source code, test images and additional instructor materials are also provided at an associated website. Digital Image Processing is the definitive textbook for students, researchers, and professionals in search of critical analysis and modern implementations of the most important algorithms in the field, and is also eminently suitable for self-study.

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Specificații

ISBN-13: 9781447166832
ISBN-10: 1447166833
Pagini: 850
Ilustrații: XXIII, 811 p. 413 illus., 141 illus. in color.
Dimensiuni: 178 x 254 x 39 mm
Greutate: 2.2 kg
Ediția:2nd ed. 2016
Editura: SPRINGER LONDON
Colecția Springer
Seria Texts in Computer Science

Locul publicării:London, United Kingdom

Cuprins

Digital Images.- ImageJ.- Histograms and Image Statistics.- Point Operations.- Filters.- Edges and Contours.- Corner Detection.- Finding Simple Curves: The Hough Transform.- Morphological Filters.- Regions in Binary Images.- Automatic Thresholding.- Color Images.- Color Quantization.- Colorimetric Color Spaces.- Filters for Color Images.- Edge Detection in Color Images.- Edge-Preserving Smoothing Filters.- Introduction to Spectral Techniques.- The Discrete Fourier Transform in 2D.- The Discrete Cosine Transform (DCT).- Geometric Operations.- Pixel Interpolation.- Image Matching and Registration.- Non-Rigid Image Matching.- Scale-Invariant Feature Transform (SIFT).- Fourier Shape Descriptors.- Appendix A: Mathematical Symbols and Notation.- Appendix B: Linear Algebra.- Appendix C: Calculus.- Appendix D: Statistical Prerequisites.- Appendix E: Gaussian Filters.- Appendix F: JavaNotes.

Recenzii

“This textbook is an excellent introduction to the fundamentals of digital image processing. It thoroughly blends basic theory and practical algorithms expressed in Java and Image. It also provides a set of accessible exercises at the end of each chapter. It is suitable as a two-semester textbook for third-year undergraduates.” (B. Belkhouche, Computing Reviews, November, 2016)

Notă biografică

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.

Textul de pe ultima copertă

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.

Caracteristici

Updated and expanded new edition
Presents an accessible introduction to the methods of digital image processing
Describes the most important procedures, with formal and mathematical aspects discussed at a fundamental level
Provides practical examples and exercises throughout, supported by additional supplementary material at an associated website