Synopsis
Introduction
Automatic Thresholding
Filters for Color Images
Edge Detection in Color Images
Edge-Preserving Smoothing Filters
Fourier Shape Descriptors
SIFT-Scale-Invariant Local Features
Mathematical Symbols and Notation
Vector Algebra and Calculus
Statistical Prerequisites
Gaussian Filters
Color Space Transformations
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From the Back Cover
This easy-to-follow textbook is the third of three volumes which provide a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and concrete implementations of the most important techniques. This volume builds upon the introductory material presented in the first two volumes (Fundamental Techniques and Core Algorithms)...
Review
From the reviews:
“The book is well written. The English is clear. The background for the algorithms are clearly explained. ... This book does a good job of describing the advanced topics. The narrative discusses the implementation of the algorithms. The topics are deliberately described with the goal of explaining the material to an advanced level reader ... . it has many good elements and is worth considering for reference or...
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2013
- ISBN 10 1848829205
- ISBN 13 9781848829206
- BindingPaperback
- LanguageEnglish
- Number of pages384
- Rating
