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Digital image processing : an algorithmic introduction using Java / Wilhelm Burger, Mark James Burge.

Burger, Wilhelm, author.; Burge, Mark, author.
2016
TA1637 .B885 2016eb
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Title
Digital image processing : an algorithmic introduction using Java / Wilhelm Burger, Mark James Burge.
Author
Burger, Wilhelm, author.
Edition
Second edition.
ISBN
9781447166849 (electronic book)
1447166841 (electronic book)
9781447166832
DOI
https://doi.org/10.1007/978-1-4471-6684-9
Published
London : Springer, 2016.
Language
English
Description
1 online resource (xxiii, 811 pages) : illustrations.
Item Number
10.1007/978-1-4471-6684-9 doi
Call Number
TA1637 .B885 2016eb
Dewey Decimal Classification
006.6/633
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.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 28, 2016).
Added Author
Burge, Mark, author.
Series
Texts in computer science.
Available in Other Form
Print version: 9781447166832
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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.

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