Texts in Computer Science / Digital Image Processing
An Algorithmic Introduction Using Java
(Sprache: Englisch)
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...
Leider schon ausverkauft
versandkostenfrei
Buch (Gebunden)
82.49 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Texts in Computer Science / Digital Image Processing “
Klappentext zu „Texts in Computer Science / Digital Image Processing “
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.
Inhaltsverzeichnis zu „Texts in Computer Science / Digital Image Processing “
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.
Autoren-Porträt von Wilhelm Burger, Mark J. Burge
Dr. Wilhelm Burger is Director of the Digital Media degree programs at the University of Applied Sciences Upper Austria, Hagenberg, where he serves as Dean of the School of Informatics, Communications and Media.Dr. Mark J. Burge is Senior Principal Scientist at the MITRE Corporation, McLean, VA, USA.
Bibliographische Angaben
- Autoren: Wilhelm Burger , Mark J. Burge
- 2016, 2. Aufl., XXIII, 811 Seiten, 141 farbige Abbildungen, Maße: 18,3 x 26 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1447166833
- ISBN-13: 9781447166832
- Erscheinungsdatum: 08.04.2016
Sprache:
Englisch
Pressezitat
"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)Kommentar zu "Texts in Computer Science / Digital Image Processing"
Schreiben Sie einen Kommentar zu "Texts in Computer Science / Digital Image Processing".
Kommentar verfassen