Digital image processing : an algorithmic introduction using Java /

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Bibliographic Details
Author / Creator:Burger, Wilhelm, author.
Edition:Second edition.
Imprint:London : Springer, 2016.
Description:1 online resource (xxiii, 811 pages) : illustrations (some color)
Language:English
Series:Texts in computer science, 1868-0941
Texts in computer science.
Subject:Image processing -- Digital techniques.
Java (Computer program language)
Image processing -- Digital techniques.
Java (Computer program language)
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11254084
Hidden Bibliographic Details
Other authors / contributors:Burge, Mark, author.
ISBN:9781447166849
1447166841
1447166833
9781447166832
9781447166832
Digital file characteristics:text file
PDF
Notes:Includes bibliographical references and index.
English.
Online resource; title from PDF title page (SpringerLink, viewed March 28, 2016).
Summary: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.
Other form:Printed edition: 9781447166832
Standard no.:10.1007/978-1-4471-6684-9