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[PDF]Image Recognition and Classification_Algorithms, Systems, and Applications.Bahram Javidi eds.Marcel Dekker.2002




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Image Recognition and Classification_Algorithms, Systems, and Applications

Authors

        edited by

        Bahram Javidi

        University of Connecticut

        Storrs, Connecticut

Publisher: Marcel Dekker, Inc.

Pub Date: 2002

Pages: 493

ISBN: 0-8247-0783-4



Preface

Image recognition and classification is one of the most actively pursued

areas in the broad field of imaging sciences and engineering. The reason is

evident: the ability to replace human visual capabilities with a machine is

very important and there are diverse applications. The main idea is to

inspect an image scene by processing data obtained from sensors. Such

machines can substantially reduce the workload and improve accuracy of

making decisions by human operators in diverse fields including the military

and defense, biomedical engineering systems, health monitoring, surgery,

intelligent transportation systems, manufacturing, robotics, entertainment,

and security systems.

Image recognition and classification is a multidisciplinary field. It

requires contributions from diverse technologies and expertise in sensors,

imaging systems, signal/image processing algorithms, VLSI, hardware and

software, and packaging/integration systems.

In the military, substantial efforts and resources have been placed in this

area. The main applications are in autonomous or aided target detection

and recognition, also known as automatic target recognition (ATR). In

addition, a variety of sensors have been developed, including high-speed

video, low-light-level TV, forward-looking infrared (FLIR), synthetic aperture

radar (SAR), inverse synthetic aperture radar (ISAR), laser radar

(LADAR), multispectral and hyperspectral sensors, and three-dimensional

sensors. Image recognition and classification is considered an extremely

useful and important resource available to military personnel and operations

in the areas of surveillance and targeting.

In the past, most image recognition and classification applications have

been for military hardware because of high cost and performance demands.

With recent advances in optoelectronic devices, sensors, electronic hardware,

computers, and software, image recognition and classification systems

have become available with many commercial applications.

While there have been significant advances in image recognition and

classification technologies, major technical problems and challenges face

this field. These include large variations in the inspected object signature

due to environmental conditions, geometric variations, aging, and target/

sensor behavior (e.g., IR thermal signature fluctuations, reflection angles,

etc.). In addition, in many applications the target or object of interest is a

small part of a very complex scene under inspection; that is, the distorted

target signature is embedded in background noise such as clutter, sensor

noise, environmental degradations, occlusion, foliage masking, and camouflage.

Sometimes the algorithms are developed with a limited available training

data set, which may not accurately represent the actual fluctuations of

the objects or the actual scene representation, and other distortions are

encountered in realistic applications. Under these adverse conditions, a reliable

system must perform recognition and classification in real time and

with high detection probability and low false alarm rates. Therefore, progress

is needed in the advancement of sensors and algorithms and compact

systems that integrate sensors, hardware, and software algorithms to provide

new and improved capabilities for high-speed accurate image recognition

and classification.

This book presents important recent advances in sensors, image processing

algorithms, and systems for image recognition and classification with

diverse applications in military, aerospace, security, image tracking, radar,

biomedical, and intelligent transportation. The book includes contributions

by some of the leading researchers in the field to present an overview of

advances in image recognition and classification over the past decade. It

provides both theoretical and practical information on advances in the field.

The book illustrates some of the state-of-the-art approaches to the field of

image recognition using image processing, nonlinear image filtering, statistical

theory, Bayesian detection theory, neural networks, and 3D imaging.

Currently, there is no single winning technique that can solve all classes of

recognition and classification problems. In most cases, the solutions appear

to be application-dependent and may combine a number of these

approaches to acquire the desired results.

Image Recognition and Classification provides examples, tests, and experiments

on real world applications to clarify theoretical concepts. A bibliography

for each topic is also included to aid the reader. It is a practical

book, in which the systems and algorithms have commercial applications

and can be implemented with commercially available computers, sensors,

and processors. The book assumes some elementary background in signal/

image processing. It is intended for electrical or computer engineers with

interests in signal/image processing, optical engineers, computer scientists,

imaging scientists, biomedical engineers, applied physicists, applied mathevi

maticians, defense technologists, and graduate students and researchers in

these disciplines.

I would like to thank the contributors, most of whom I have known for

many years and are my friends, for their fine contributions and hard work. I

also thank Russell Dekker for his encouragement and support, and Eric

Stannard for his assistance. I hope that this book will be a useful tool to

increase appreciation and understanding of a very important field.

Bahram Javidi



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Image Recognition and Classification_Algorithms, Systems, and Applications.Bahram Javidi eds.Marcel Dekker.2002.rar



Image Recognition and Classification_Algorithms, Systems, and Applications.Bahram Javidi eds.Marcel Dekker.2002.rar



Image Recognition and Classification_Algorithms, Systems, and Applications.Bahram Javidi eds.Marcel Dekker.2002.rar



Image Recognition and Classification_Algorithms, Systems, and Applications.Bahram Javidi eds.Marcel Dekker.2002.rar



Image Recognition and Classification_Algorithms, Systems, and Applications.Bahram Javidi eds.Marcel Dekker.2002.rar



Image Recognition and Classification_Algorithms, Systems, and Applications.Bahram Javidi eds.Marcel Dekker.2002.rar



Image Recognition and Classification_Algorithms, Systems, and Applications.Bahram Javidi eds.Marcel Dekker.2002.rar


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