Digital Image Processing: An Algorithmic Introduction using Java

✍ Scribed by Wilhelm Burger, Mark James Burge

• Publisher: Springer
• Year: 2008
• Tongue: English
• Leaves: 574
• Series: Texts in Computer Science
• Category: Library

✦ Synopsis

"This will be one of my continuing reference books for some time to come."
Steve Cunningham, PhD, Past President of SIGGRAPH

"An excellent resource for the users of ImageJ."
Wayne Rasband, author of ImageJ

This modern, self-contained, textbook explains the fundamental algorithms of digital image processing through practical examples and complete Java implementations. Available for the first time in English, Digital Image Processing is the definitive textbook for students, researchers, and professionals in search of critical analysis and modern implementations of the most important algorithms in the field.

• 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

• Self-contained chapters and additional online material suitable for a flexible one- or two- semester course

• Uses ImageJ, the image processing system developed, maintained, and freely distributed by the U.S. National Institutes of Health (NIH)

• A comprehensive Website (www.imagingbook.com) with complete Java source code, test images, and additional instructor materials

This comprehensive, reader-friendly introduction is ideal for foundation courses as well as eminently suitable for self-study.

Wilhelm Burger is the director of the Digital Media degree programs at the Upper Austria University of Applied Sciences at Hagenberg.

Mark J. Burge is a program director at the National Science Foundation (NSF) and a principal at Noblis (Mitretek) in Washington, D.C.

✦ Table of Contents

Front Matter....Pages I-XX
Crunching Pixels....Pages 1-4
Digital Images....Pages 5-25
ImageJ....Pages 27-36
Histograms....Pages 37-52
Point Operations....Pages 53-86
Filters....Pages 87-116
Edges and Contours....Pages 117-138
Corner Detection....Pages 139-153
Detecting Simple Curves....Pages 155-171
Morphological Filters....Pages 173-197
Regions in Binary Images....Pages 199-237
Color Images....Pages 239-312
Introduction to Spectral Techniques....Pages 313-342
The Discrete Fourier Transform in 2D....Pages 343-366
The Discrete Cosine Transform (DCT)....Pages 367-373
Geometric Operations....Pages 375-428
Comparing Images....Pages 429-449
Back Matter....Pages 451-565

✦ Subjects

Computer Imaging, Vision, Pattern Recognition and Graphics; Computer Graphics; Image Processing and Computer Vision; Computational Intelligence