Items related to Principles of Digital Image Processing: Advanced Methods
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) with additional key concepts and methods in image processing.
Features and topics:
- 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
- Uses ImageJ, the image processing system developed, maintained, and freely distributed by the U.S. National Institutes of Health (NIH)
- Provides a supplementary website with the complete Java source code, test images, and corrections―www.imagingbook.com
- Additional presentation tools for instructors including a complete set of figures, tables, and mathematical elements
This thorough, reader-friendly text will equip undergraduates with a deeper understanding of the topic and will be invaluable for further developing knowledge via self-study.
Wilhelm Burger, Ph.D., is the director of the Digital Media degree programs at the Upper Austria University of Applied Sciences at Hagenberg.
Mark J. Burge, Ph.D., is a senior principal at MITRE in Washington, D.C.
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 for a course.” (Elisa H. Barney Smith, IAPR Newsletter, Vol. 36 (2), April, 2014)
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