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Books : Computers & Internet : Programming : Algorithms : Pattern Recognition
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THE leader in the field for more than twenty years, this introduction to basic concepts and methodologies for digital image processing continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing. Completely self-contained, heavily illustrated, and mathematically accessible, it has a scope of application that is not limited to the solution of specialized problems. Digital Image Fundamentals. Image Enhancement in the Spatial Domain. Image Enhancement in the Frequency Domain. Image Restoration. Color Image Processing. Wavelets and Multiresolution Processing. Image Compression. Morphological Image Processing. Image Segmentation. Representation and Description. Object Recognition. For technicians interested in the fundamentals and contemporary applications of digital imaging processing
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The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
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Now in its fifth edition, John C. Russ’s monumental image processing reference is an even more complete, modern, and hands-on tool than ever before. The Image Processing Handbook, Fifth Edition is fully updated and expanded to reflect the latest developments in the field. A companion CD-ROM to this edition is available and includes more than 200 images along with a set of Photoshop®-compatible plug-ins that implement many of the algorithms described in the book (for more information, visit www.reindeergraphics.com). Written by an expert with unequalled experience and authority, it offers clear guidance on how to create, select, and use the most appropriate algorithms for a specific application.What’s new in the Fifth Edition?
· A new chapter on the human visual process that explains which visual cues elicit a response from the viewer
· Description of the latest hardware and software for image acquisition and printing, reflecting the proliferation of the digital camera
· New material on multichannel images, including a major section on principal components analysis
· Expanded sections on deconvolution, extended dynamic range images, and image enlargement and interpolation
· More than 600 new and revised figures and illustrations for a total of more than 2000 illustrations
· 20% more references to the most up-to-date literature
Written in a relaxed and reader-friendly style, The Image Processing Handbook, Fifth Edition guides you through the myriad tools available for image processing and helps you understand how to select and apply each one.
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Digital imagery and digital color are everywhere, yet operating a color-managed system has remained a mystery... until now! Fresh from pioneering work in color algorithms for FujiFilm, Dr. Abhay Sharma explains the basics of color science and color measurement, and provides an in-depth look at the range of measuring instruments available to the end-user. International Color Consortium (ICC) profiles are discussed in great detail and procedures for profiling scanners, digital cameras, computer monitors, inkjet printers, and printing presses are thoroughly described- making this book the definitive guide to color management.
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This volume provides students, researchers and application developers with the knowledge and tools to get the most out of using neural networks and related data modelling techniques to solve pattern recognition problems. Each chapter covers a group of related pattern recognition techniques and includes a range of examples to show how these techniques can be applied to solve practical problems.
Features of particular interest include:
- A NETLAB toolbox which is freely available
- Worked examples, demonstration programs and over 100 graded exercises
- Cutting edge research made accessible for the first time in a highly usable form
- Comprehensive coverage of visualisation methods, Bayesian techniques for neural networks and Gaussian Processes
Although primarily a textbook for teaching undergraduate and postgraduate courses in pattern recognition and neural networks, this book will also be of interest to practitioners and researchers who can use the toolbox to develop application solutions and new models.
"...provides a unique collection of many of the most important pattern recognition algorithms. With its use of compact and easily modified MATLAB scripts, the book is ideally suited to both teaching and research."
Christopher Bishop, Microsoft Research, Cambridge, UK
"...a welcome addition to the literature on neural networks and how to train and use them to solve many of the statistical problems that occur in data analysis and data mining" Jack Cowan, Mathematics Department, University of Chicago, US
"If you have a pattern recognition problem, you should consider NETLAB; if you use NETLAB you must have this book." Keith Worden, University of Sheffield, UK
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Computer Manual to Accompany Pattern Classification and its associated MATLAB software is an excellent companion to Duda: Pattern Classfication, 2nd ed, (DH&S). The code contains all algorithms described in Duda as well as supporting algorithms for data generation and visualization. The Manual uses the same terminology as the DH&S text and contains step-by-step worked examples, including many of the examples and figures in the textbook.
The Manual is accompanied by software that is available electronically. The software contains all algorithms in DH&S, indexed to the textbook, and uses symbols and notation as close as possible to the textbook. The code is self-annotating so the user can easily navigate, understand and modify the code.
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Radio Frequency Identification (RFID) is rapidly changing the way businesses track inventory and assets. From Wal-Mart and Tesco to the U.S. Department of Defense, early efforts are already showing benefits, but software, integration, and data processing for RFID still present a challenge. If you are a developer or an architect charged with developing an RFID system, this book is for you. Drawing on extensive experience, Bill Glover and Himanshu Bhatt provide you with essential information on this emerging technology.
With the knowledge you gain in these pages, you will possess the information and understanding you need to start designing, building, or integrating with RFID systems.
In RFID Essentials you will find information on:
- Tags and tag protocols, including the Electronic Product Code (EPC)
- Readers and reader protocols
- RFID middleware
- Security and privacy
- Managing RFID devices
- RFID's impact on your architecture
Bill Glover has been writing software since 1981 and has worked as a programmer, lead developer, or architect on systems of all sizes, from small, automated systems controlling dams and feedmills up to a complete redesign and reimplementation of one of the world's busiest travel web sites. Bill first worked with RFID in 1995, tracking individual cattle using ear tags. He is currently a Senior Java Architect with Sun Microsystems, Inc., and works with Sun's RFID consulting practice and the RFID Test Center.
Himanshu Bhatt heads the U.S. RFID Practice and Software Technology Lab for Sun Microsystems, Inc. Prior to assuming this role, Himanshu was responsible for business development and consulting in emerging areas of technology. Himanshu has over 16 years of experience in the architecture and development of distributed, multitier systems using a host of technologies for Fortune 1000 companies. Himanshu has spoken at industry conferences such as JavaOne and the LoneStar Symposium and has published articles on Java/J2EE technologies.
"The Information Age is over. We're entering an era where network connectivity is almost ubiquitous - it's participate or perish." --Jonathan Schwartz, President and COO, Sun Microsystems, Inc.
"Unique competitive advantage erupts from enterprises that couple the RFID technologies laid out in RFID Essentials with modern business integration using service-oriented architectures. This is the book to read in order to understand this new landscape." --Mark Bauhaus, Senior Vice President, Sun Microsystems, Inc.
"This is a must read for RFID Software and Solution architects and is highly recommended for anyone needing to gain more insight into the myriad of components, standards and technologies that make up an RFID solutions environment." --Bryan Tracey, Chief Architect, GlobeRanger Corporation
"The authors have done a commendable job of covering a lot of ground in the RFID space, including the infrastructure needed to share the volumes of data RFID will likely generate." --Graham Gillen, Senior Product Manager, VeriSign
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Biometric Technologies and Verification Systems is organized into nine parts composed of 30 chapters, including an extensive glossary of biometric terms and acronyms. It discusses the current state-of-the-art in biometric verification/authentication, identification and system design principles. It also provides a step-by-step discussion of how biometrics works; how biometric data in human beings can be collected and analyzed in a number of ways; how biometrics are currently being used as a method of personal identification in which people are recognized by their own unique corporal or behavioral characteristics; and how to create detailed menus for designing a biometric verification system.
Only biometrics verification/authentication is based on the identification of an intrinsic part of a human being. Tokens, such as smart cards, magnetic stripe cards, and physical keys can be lost, stolen, or duplicated. Passwords can be forgotten, shared, or unintentionally observed by a third party. Forgotten passwords and lost "smart cards" are a nuisance for users and an expensive time-waster for system administrators. Biometric security solutions offer some unique advantages for identifying and verifying/ authenticating human beings over more traditional security methods. This book will serve to identify the various security applications biometrics can play a highly secure and specific role in.
* Contains elements such as Sidebars, Tips, Notes and URL links
* Heavily illustrated with over 150 illustrations, screen captures, and photographs
* Details the various biometric technologies and how they work while providing a discussion of the economics, privacy issues and challenges of implementing biometric security solutions
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Biometric recognition, or simply Biometrics, is a rapidly evolving field with applications ranging from accessing one's computer to gaining entry into a country. Biometric systems rely on the use of physical or behavioral traits, such as fingerprints, face, voice and hand geometry, to establish the identity of an individual. The deployment of large-scale biometric systems in both commercial (e.g., grocery stores, amusement parks, airports) and government (e.g., US-VISIT) applications has served to increase the public's awareness of this technology. This rapid growth has also highlighted the challenges associated with designing and deploying biometric systems. Indeed, the problem of biometric recognition is a "Grand Challenge" in its own right. The past five years has seen a significant growth in biometric research resulting in the development of innovative sensors, robust and efficient algorithms for feature extraction and matching, enhanced test methodologies and novel applications. These advances have resulted in robust, accurate, secure and cost effective biometric systems.
The Handbook of Biometrics -- an edited volume contributed by prominent invited researchers in Biometrics -- describes the fundamentals as well as the latest advancements in the burgeoning field of biometrics. It is designed for professionals composed of practitioners and researchers in Biometrics, Pattern Recognition and Computer Security. The Handbook of Biometrics can be used as a primary textbook for an undergraduate biometrics class. This book is also suitable as a secondary textbook or reference for advanced-level students in computer science.
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This robust text provides deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision. As a result, it can serve undergraduates, graduates, researchers, and professionals looking for a readable reference. The book's encyclopedic coverage of topics is wide, and it can be used in more than one course (both image processing and machine vision classes). In addition, while advanced mathematics is not needed to understand basic concepts (making this a good choice for undergraduates), rigorous mathematical coverage is included for more advanced readers. It is also distinguished by its easy-to-understand algorithm descriptions of difficult concepts, and a wealth of carefully selected problems and examples.
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* Biometrics authentication, which relies on fingerprints, speech, or other physical characteristics, is an increasingly important means of protecting critical data
* Gives security professionals specific guidelines, applications, and procedures for implementing a biometric security system in a LAN, WAN, or wireless infrastructure
* Covers fingerprint identification, hand geometry, speaker recognition, face location, retina scanning, and multibiometrics
* Companion Web site contains articles, papers, source code, and product guides
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The Self-Organizing Map (SOM) algorithm was introduced by the author in 1981. Its theory and many applications form one of the major approaches to the contemporary artificial neural networks field, and new technologies have already been based on it. The most important practical applications are in exploratory data analysis, pattern recognition, speech analysis, robotics, industrial and medical diagnostics, instrumentation, and control, and literally hundreds of other tasks. In this monograph the mathematical preliminaries, background, basic ideas, and implications are expounded in a clear, well-organized form, accessible without prior expert knowledge. Still the contents are handled with theoretical rigor.
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This book is an introduction to digital image processing from an elementary perspective. Providing a broad introduction to the discipline, the book covers topics that can be introduced with simple mathematics so students can learn the concepts without getting overwhelmed by mathematical detail. The first three chapters set the scene for the rest of the book by exploring the nature and use of digital images and how they can be obtained, stored, and displayed. By using MATLAB and its Image Processing Toolbox, students will be able to apply the theory they have learned into practice.
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Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. This volume's unifying treatment covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. It includes discussion of the latest techniques in wavelets, wavelet packets, and fractals. This book presents cutting-edge material on neural networks, and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10 years of teaching experience, the text was developed by the authors through use in their own classrooms.
Key Features
* Covers the entire spectrum of pattern recognition applications
* Includes discussion of the latest techniques in wavelets, wavelet packets, and fractals
* Presents cutting-edge material on neural networks
* Enhances student motivation
* Approaches pattern recognition from the designer's point of view
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This guide for professional wedding photographers introduces and explains the many uses of Adobe Photoshop in correcting and enhancing wedding photos to improve client satisfaction and boost sales. Photographers learn how to correct image color; remove blemishes and wrinkles; change backgrounds to eliminate distractions or add special effects; create the look of sepia-toned images; selectively tint eyes, lips, and bouquets with digital hand-coloring techniques; and create watercolor images. Tips for using Photoshop for business promotion are also provided, including instructions for creating effective mailers and business cards and putting enhanced images on the web to attract new clients.
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This book is a companion book to the comprehensive text entitled Image Processing, Analysis, and Machine Vision by M. Sonka, V. Hlavac, and R. Boyle. This workbook provides additional material for readers of Sonka and is similarly structured. Written for students, teachers and practitioners to acquire practical understanding in a hands on fashion, this book provides the reader with short-answer questions, problems and selected algorithms from the main text using MATLAB in levels of varying difficulty. These resources can be used as extra practice for students to reinforce the material studied within the main text or can be useful as test materials for teachers. A solutions manual is available for Instructors for the problems within this workbook.
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Reviews emerging standards; MPLS and MPLmS, key optical technologies, and critical applications for enterprise, ISP, and carrier environments. Author is Senior Consulting Engineer at Cisco Systems.
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This book presents a coherent approach to the fast moving field of machine vision, using a consistent notation based on a detailed understanding of the image formation process. It covers even the most recent research and will provide a useful and current reference for professionals working in the fields of machine vision, image processing, and pattern recognition.
An outgrowth of the author's course at MIT, Robot Vision presents a solid framework for understanding existing work and planning future research. Its coverage includes a great deal of material that important to engineers applying machine vision methods in the real world. The chapters on binary image processing, for example, help explain and suggest how to improve the many commercial devices now available. And the material on photometric stereo and the extended Gaussian image points the way to what may be the next thrust in commercialization of the results in this area. The many exercises complement and extend the material in the text, and an extensive bibliography will serve as a useful guide to current research.
Contents: Image Formation and Image Sensing. Binary Images: Geometrical Properties; Topological Properties. Regions and Image Segmentation. Image Processing: Continuous Images; Discrete Images. Edges and Edge Finding. Lightness and Color. Reflectance Map: Photometric Stereo Reflectance Map; Shape from Shading. Motion Field and Optical Flow. Photogrammetry and Stereo. Pattern Classification. Polyhedral Objects. Extended Gaussian Images. Passive Navigation and Structure from Motion. Picking Parts out of a Bin.
Berthold Klaus Paul Horn is Associate Professor, Department of Electrical Engineering and Computer Science, MIT. Robot Vision is included in the MIT Electrical Engineering and Computer Science Series.