Digital Image Processing and Analysis

Digital Image Processing and Analysis: Human and Computer Vision Applications with CVIPtools, Second Edition

Published:
Content:
Author(s):
Free Standard Shipping

Purchasing Options

Hardback
$135.95 $108.76
ISBN 9781439802052
Cat# K10112
Add to cart
SAVE 20%
eBook (VitalSource)
$135.95 $95.17
ISBN 9781439881217
Cat# KE13979
Add to cart
SAVE 30%
eBook Rentals
 

Features

  • Combines image processing and analysis into the unified framework that is necessary for understanding both human and computer vision applications
  • Integrates theoretical material with an engineering approach
  • Uses color throughout and adds more materials on the processing of color images
  • Includes a new chapter on applications
  • Develops and includes on CD-ROM two new major Computer Vision and Image Processing (CVIP) tools that allow for batch processing, the analysis of imaging algorithms, and the overall research and development of imaging applications
  • Meets the needs of both digital image processing and computer vision courses, as well those of professional engineers in need of a practical self-tutorial to update their knowledge

A solutions manual and an ancillary CD with PowerPoint lecture slides are available to instructors with qualifying course adoption.

Summary

Whether for computer evaluation of otherworldly terrain or the latest high definition 3D blockbuster, digital image processing involves the acquisition, analysis, and processing of visual information by computer and requires a unique skill set that has yet to be defined a single text. Until now.

Taking an applications-oriented, engineering approach, Digital Image Processing and Analysis provides the tools for developing and advancing computer and human vision applications and brings image processing and analysis together into a unified framework.

Providing information and background in a logical, as-needed fashion, the author presents topics as they become necessary for understanding the practical imaging model under study. He offers a conceptual presentation of the material for a solid understanding of complex topics and discusses the theory and foundations of digital image processing and the algorithm development needed to advance the field.

With liberal use of color through-out and more materials on the processing of color images than the previous edition, this book provides supplementary exercises, a new chapter on applications, and two major new tools that allow for batch processing, the analysis of imaging algorithms, and the overall research and development of imaging applications. It includes two new software tools, the Computer Vision and Image Processing Algorithm Test and Analysis Tool (CVIP-ATAT) and the CVIP Feature Extraction and Pattern Classification Tool (CVIP-FEPC).

Divided into five major sections, this book provides the concepts and models required to analyze digital images and develop computer vision and human consumption applications as well as all the necessary information to use the CVIPtools environment for algorithm development, making it an ideal reference tool for this fast growing field.

Table of Contents

Section I Introduction to Digital Image Processing and Analysis

Digital Image Processing and Analysis
Overview
Image Analysis and Computer Vision
Image Processing and Human Vision
Key Points
Exercises
References
Further Reading

Computer Imaging Systems
Imaging Systems Overview
Image Formation and Sensing
CVIPtools Software
Image Representation
Key Points
Exercises
Supplementary Exercises
References
Further Reading

Section II Digital Image Analysis and Computer Vision

Introduction to Digital Image Analysis
Introduction
Preprocessing
Binary Image Analysis
Key Points
Exercises
Supplementary Exercises
References
Further Reading

Segmentation and Edge/Line Detection
Introduction and Overview
Edge/Line Detection
Segmentation
Key Points
Exercises
Supplementary Exercises
References
Further Reading

Discrete Transforms
Introduction and Overview
Fourier Transform
Discrete Cosine Transform
Discrete Walsh–Hadamard Transform
Discrete Haar Transform
Principal Components Transform
Filtering
Discrete Wavelet Transform
Key Points
Exercises
Supplementary Exercises
References
Further Reading

Feature Analysis and Pattern Classification
Introduction and Overview
Feature Extraction
Feature Analysis
Pattern Classification
Key Points
Exercises
Supplementary Exercises
References
Further Reading

Section III Digital Image Processing and Human Vision

Digital Image Processing and Visual Perception
Introduction and Overview
Human Visual Perception
Image Fidelity Criteria
Key Points
Exercises
Supplementary Exercises
References
Further Reading

Image Enhancement
Introduction and Overview
Gray-Scale Modification
Image Sharpening
Image Smoothing
Key Points
Exercises
Supplementary Exercises
References
Further Reading

Image Restoration and Reconstruction
Introduction and Overview
Noise Models
Noise Removal Using Spatial Filters
Degradation Function
Frequency Domain Filters
Geometric Transforms
Image Reconstruction
Key Points
Exercises
Supplementary Exercises
References
Further Reading

Image Compression
Introduction and Overview
Lossless Compression Methods
Lossy Compression Methods
Key Points
Exercises
Supplementary Exercises
References
Further Reading

Section IV Programming and Application Development with CVIPtools

CVIPlab
Introduction to CVIPlab
Toolkits, Toolboxes, and Application Libraries
Compiling and Linking CVIPlab
Image Data and File Structures
CVIP Projects

Application Development
Introduction and Overview
CVIP Algorithm Test and Analysis Tool
CVIP Feature Extraction and Pattern Classification Tool
Skin Lesion Classification Using Relative Color Features
Automatic Segmentation of Blood Vessels in Retinal Images
Classification of Land Types from Satellite Images Using Quadratic Discriminant Analysis and Multilayer Perceptrons
Watershed-Based Approach to Skin Lesion Border Segmentation
Faint Line Defect Detection in Microdisplay (CCD) Elements
Melanoma and Seborrheic Keratosis Differentiation Using Texture Features
Compression of Color Skin Tumor Images with Vector Quantization
References

CVIPtools C® Function Libraries
Introduction and Overview
Arithmetic and Logic Library: ArithLogic.lib
Band Image Library: Band.lib
Color Image Library: Color.lib
Compression Library: Compression.lib
Conversion Library: Conversion.lib
Display Library: Display.lib
Feature Extraction Library: Feature.lib
Geometry Library: Geometry.lib
Histogram Library: Histogram.lib
Image Library: Image.lib
Data Mapping Library: Mapping.lib
Morphological Library: Morphological.lib
Noise Library: Noise.lib
Segmentation Library: Segmentation.lib
Spatial Filter Library: SpatialFilter.lib
Transform Library: Transform.lib
Transform Filter Library: TransformFilter.lib

Section V Appendices

CVIPtools CD
Installing and Updating CVIPtools
CVIPtools Software Organization
CVIPtools C® Functions
Common Object Module (COM) Functions: cviptools.dll
CVIP Resources

Index

Editorial Reviews

"Where needed, chapters are extremely well illustrated with full color images supplied where appropriate. ... My impression of this textbook is that it can be easily used as a basis for instruction in a variety of image processing and analysis areas in undergraduate and graduate work in fields from computer science to electrical to biomedical engineering and in a number of related fields of endeavor involved in image perception and analysis. ... The text is written at a junior-year or above level and used as a basis for advanced studies involving images. It is quite up to date. I recommend it highly."
—Paul H. King, Vanderbilt University, IEEE Pulse, July/August 2012

"This is a nicely presented book and the topics it covers in depth are well described. … if you are looking for a book on the basics of image processing complete with some ready-made software to let you work through the ideas, this is a good choice. Needless to say it would make a good course text …"
—Mike James, IProgrammer, September 2011

"The text, which is richly illustrated with both drawings and example images, and the CVIPtools package are highly integrated. This creates a learning environment that is particularly suited to students, computer scientists, and application developers. ... Altogether, the author has produced a book that presents both the practical and theoretical aspects of digital image processing in a way that is efficient for learning, as well as research- and application-oriented development. He does an excellent job of showing how algorithms work and what the results look like. ... The CVIPtools application and libraries are very useful. Compared with the first edition, two newly added software tools, the Computer Vision and Image Processing Algorithm Test and Analysis Tool (CVIP-ATAT) and the CVIP Feature Extraction and Pattern Classification Tool (CVIP-FEPC) offer a more complete set of tools for developing and testing algorithms. ... Overall, this is an excellent text for the student or professional looking for a practical introduction to or an overview of the wide world of digital image processing and analysis."
—Jeffrey Snyder and Elena Fedorovskaya, Kodak Research Laboratories, Rochester, New York, Journal of Electronic Imaging, Jul–Sep 2011/Vol. 20(3)

Downloads / Updates

Resource OS Platform Updated Description Instructions
K10112_Downloads.zip Cross Platform April 30, 2014

 
Textbooks
Other CRC Press Sites
Featured Authors
STAY CONNECTED
Facebook Page for CRC Press Twitter Page for CRC Press You Tube Channel for CRC Press LinkedIn Page for CRC Press Google Plus Page for CRC Press Pinterest Page for CRC Press
Sign Up for Email Alerts
© 2014 Taylor & Francis Group, LLC. All Rights Reserved. Privacy Policy | Cookie Use | Shipping Policy | Contact Us