Digital Image Processing: An Algorithmic Introduction Using Java

✍ Scribed by Wilhelm Burger, Mark J. Burge (auth.)

• Publisher: Springer-Verlag London
• Year: 2016
• Tongue: English
• Leaves: 812
• Series: Texts in Computer Science
• Edition: 2
• Category: Library

✦ Synopsis

This revised and expanded new edition of an internationally successful classic presents an accessible introduction to the key methods in digital image processing for both practitioners and teachers. Emphasis is placed on practical application, presenting precise algorithmic descriptions in an unusually high level of detail, while highlighting direct connections between the mathematical foundations and concrete implementation. The text is supported by practical examples and carefully constructed chapter-ending exercises drawn from the authors' years of teaching experience, including easily adaptable Java code and completely worked out examples. Source code, test images and additional instructor materials are also provided at an associated website. 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, and is also eminently suitable for self-study.

✦ Table of Contents

Front Matter....Pages i-xxiii
Digital Images....Pages 1-21
ImageJ....Pages 23-35
Histograms and Image Statistics....Pages 37-56
Point Operations....Pages 57-88
Filters....Pages 89-119
Edges and Contours....Pages 121-146
Corner Detection....Pages 147-159
Finding Simple Curves: The Hough Transform....Pages 161-180
Morphological Filters....Pages 181-208
Regions in Binary Images....Pages 209-252
Automatic Thresholding....Pages 253-289
Color Images....Pages 291-328
Color Quantization....Pages 329-339
Colorimetric Color Spaces....Pages 341-365
Filters for Color Images....Pages 367-389
Edge Detection in Color Images....Pages 391-411
Edge-Preserving Smoothing Filters....Pages 413-451
Introduction to Spectral Techniques....Pages 453-479
The Discrete Fourier Transform in 2D....Pages 481-501
The Discrete Cosine Transform (DCT)....Pages 503-511
Geometric Operations....Pages 513-538
Pixel Interpolation....Pages 539-563
Image Matching and Registration....Pages 565-585
Non-Rigid Image Matching....Pages 587-608
Scale-Invariant Feature Transform (SIFT)....Pages 609-664
Fourier Shape Descriptors....Pages 665-711
Back Matter....Pages 713-811

✦ Subjects

Image Processing and Computer Vision; Signal, Image and Speech Processing; Computational Intelligence