Principles of digital image processing. Core algorithms
type: Item
instance of: scholarly article
title: Principles of digital image processing. Core algorithms
zbMATH Open document ID: 1185.94002
author: Wilhelm Burger
author: Mark James Burge
published in: Undergraduate Topics in Computer Science
publication date: 2009-03-20T00:00:00Z
review text: 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 (Fourier, discrete cosine, affine, projective transformations, aliasing etc.) 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; from the book's website \url{http://www.imagingbook.com} is available the \texttt{ImageJ} software used for example programs; teachers can download also material for slides (figures, tables, equations, algorithms from the book), Java source code for the programming examples and example images.
reviewed by: Jaak Henno
Mathematics Subject Classification ID: 94-01
Mathematics Subject Classification ID: 68-01
Mathematics Subject Classification ID: 94A08
Mathematics Subject Classification ID: 68U10
zbMATH DE Number: 5530592
zbMATH Keywords: image processing
zbMATH Keywords: image algorithms
zbMATH Keywords: binary images
zbMATH Keywords: color spaces
zbMATH Keywords: transformations of images
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 5530592