Cantitate/Preț
Produs

Principles of Digital Image Processing: Fundamental Techniques: Undergraduate Topics in Computer Science

Autor Wilhelm Burger, Mark J. Burge
en Limba Engleză Paperback – 23 apr 2009
This easy-to-follow textbook provides a modern, algorithmic introduction to digital image processing. It concentrates on practical applications and working implementations whilst also presenting important formal details and the necessary mathematics.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (3) 22715 lei  3-5 săpt. +2451 lei  6-12 zile
  SPRINGER LONDON – 23 apr 2009 22715 lei  3-5 săpt. +2451 lei  6-12 zile
  SPRINGER LONDON – 2 apr 2009 30095 lei  6-8 săpt.
  SPRINGER LONDON – 22 mai 2013 36618 lei  39-44 zile

Din seria Undergraduate Topics in Computer Science

Preț: 22715 lei

Preț vechi: 28393 lei
-20% Nou

Puncte Express: 341

Preț estimativ în valută:
4347 4586$ 3623£

Carte disponibilă

Livrare economică 12-26 decembrie
Livrare express 27 noiembrie-03 decembrie pentru 3450 lei

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781848001909
ISBN-10: 1848001908
Pagini: 260
Ilustrații: XIV, 261 p. With online files/update.
Dimensiuni: 178 x 254 x 15 mm
Greutate: 0.54 kg
Ediția:2009
Editura: SPRINGER LONDON
Colecția Springer
Seria Undergraduate Topics in Computer Science

Locul publicării:London, United Kingdom

Public țintă

Lower undergraduate

Cuprins

Digital Images.- ImageJ.- Histograms.- Point Operations.- Filters.- Edges and Contours.- Morphological Filters.- Color Images.

Recenzii

From the reviews:
"This slim volume is the first of a three-volume set. … the book’s overall coverage is sound--well written, with plenty of illustrative examples and elegant diagrams. … this book is a fine introduction to image processing, and some topics--color, in particular--are very well done indeed. … In summary, this is mostly a fine text. … with the addition of more exercises, this would be an excellent introduction to the field." (Alasdair McAndrew, ACM Computing Reviews, August, 2009)

Textul de pe ultima copertă

This easy-to-follow textbook provides 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. The text compiles the key elements of digital image processing, starting from the basic concepts and elementary properties of digital images through simple statistics and point operations, fundamental filtering techniques, localization of edges and contours, and basic operations on color images. Mastering these most commonly used techniques will enable the reader to start being productive straight away.
Features and topics:
  • Practical examples and carefully constructed chapter-ending exercises drawn from the authors' years of experience teaching this material
  • 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 (and rapid prototyping of new) applications
  • Uses ImageJ, the image processing system developed, maintained, and freely distributed by the U.S. National Institutes of Health (NIH)
  • Provides a supplementary website with the complete Java source code, test images, and corrections – www.imagingbook.com
  • Additional presentation tools for instructors including a complete set of figures, tables, and mathematical elements
This concise, yet comprehensive and reader-friendly text is ideal for undergraduates studying foundation courses, as well as ideal for those seeking to expand their knowledge via self-study.
Wilhelm Burger, Ph.D., is the director of the Digital Media degree programs at the UpperAustria University of Applied Sciences at Hagenberg.
Mark J. Burge, Ph.D., is a senior principal in the Center for National Security and Intelligence at Noblis in Washington, D.C.

Caracteristici

This reader-friendly textbook concentrates on practical applications and working implementations whilst also presenting the important formal details and mathematics necessary for a deeper understanding of the algorithms Comprehensive yet concise, this text contains many learning aids throughout such as end of chapter exercises, detailed illustrations, comprehensive introductory chapter and helpful appendices Includes supplementary material: sn.pub/extras