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  • Format: PDF


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.

  • Geräte: PC
  • ohne Kopierschutz
  • eBook Hilfe
  • Größe: 22.66MB
Produktbeschreibung
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.


Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

  • Produktdetails
  • Verlag: Springer-Verlag GmbH
  • Seitenzahl: 261
  • Erscheinungstermin: 7. Juli 2010
  • Englisch
  • ISBN-13: 9781848001916
  • Artikelnr.: 44059210
Inhaltsangabe
Introduction

Automatic Thresholding

Filters for Color Images

Edge Detection in Color Images

Edge-Preserving Smoothing Filters

Fourier Shape Descriptors

SIFT-Scale-Invariant Local Features

Mathematical Symbols and Notation

Vector Algebra and Calculus

Statistical Prerequisites

Gaussian Filters

Color Space Transformations
Rezensionen
From the reviews:

"This text is the second of three volumes by Burger and Burge to provide an algorithmic introduction to digital image processing. ... This textbook is for academicians who want a mathematical or theoretical foundation that underlies the methods used, as well as for engineers who are interested in practical implementations of the most important algorithms. The volume is a very nice extension to the material and a worthwhile read." (Minette Carl, ACM Computing Reviews, August, 2009)

"This is the second textbook from authors three-book series for graduate and post-graduate courses covering digital image processing techniques; earlier the material appeared in one comprehensive volume Digital Image Processing: An Algorithmic Introduction using Java. This volume covers regions in binary images, curve and corner detecting, color spaces and quantization, transformations ... and comparing/matching of images. The presentation is very algorithmic and expects hands-on experimentation with presented notions and algorithms, every chapter ends with exercises ... ." (Jaak Henno, Zentralblatt MATH, Vol. 1185, 2010)