Digital Image Processing: An Algorithmic Introduction Using Java

Description

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.

CONTENTS:

Crunching Pixels.- Digital Images.- ImageJ.- Histograms.- Point Operations.- Filters.- Edges and Contours.- Corner Dectection.- Detecting Simple Curves.- Morphological Filters.- Regions in Binary Images.- Color Images.- Introduction to Spectral Techniques.- The Discrete Fourier Transform in 2D.- The Discrete Cosine Transform (DCT).- Geometrical Operations.- Comparing Images.- A Mathematical Notation.- B Java Notes.- C ImageJ Short Reference.- D Source Code.- References.- Index.