Principles of Digital Image Processing: Core Algorithms

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Springer Science & Business Media, Jul 8, 2010 - Computers - 332 pages
This is the second volume of a book series that provides a modern, algori- mic introduction to digital image processing. It is designed to be used both by learners desiring a ?rm foundation on which to build and practitioners in search of critical analysis and modern implementations of the most important techniques. This updated and enhanced paperback edition of our compreh- sive textbook Digital Image Processing: An Algorithmic Approach Using Java packages the original material into a series of compact volumes, thereby s- porting a ?exible sequence of courses in digital image processing. Tailoring the contents to the scope of individual semester courses is also an attempt to p- vide a?ordable (and “backpack-compatible”) textbooks without comprimising the quality and depth of content. This second volume, titled Core Algorithms, extends the introductory - terial presented in the ?rst volume (Fundamental Techniques) with additional techniques that are, nevertheless, part of the standard image processing to- box. A forthcomingthird volume(Advanced Techniques) will extendthis series and add important material beyond the elementary level, suitable for an - vanced undergraduate or even graduate course.
 

Contents

Introduction
1
Detecting Simple Curves
49
4
69
63
80
Color Quantization
87
Colorimetric Color Spaces 97
96
Introduction to Spectral Techniques
125
The Discrete Fourier Transform in 2D
157
The Discrete Cosine Transform DCT
183
Geometric Operations
191
Comparing Images
255
A Mathematical Notation
279
Bibliography
313
Index 321
320
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