The explosion of computer use and internet communication has placed new emphasis on the ability to store, retrieve and search for all types of images, both still photo and video images. The success and the future of visual information retrieval depends on the cutting edge research and applications explored in this book. It combines the expertise from both computer vision and database research.
Unlike text retrieval and text/numeric databases the challenges of image databases are enormous. How do you use "data mining" to search for an image if you do not have "key words" to search? Exploratory Image Databases introduces the idea that it is possible to solve this problem by merging database systems into a single search and browse activity called "exploration."
Exploratory Image Databases is one of the first single-author books that unifies the critical emerging topic of image databases. A new approach to image databases, the work is divided into four central parts: introduction to the problems that image database research must solve; computer vision and information retrieval techniques; image database issues; and interface and engines for visual searches.
Example: Imagine the difficulty of building and using a database for "face recognition," where an image of a face is used. In order to effectively use the image a huge number of characteristics would need to be entered in the database. The goal of future image databases is to use hardware and software to recognize and categorize images without typing in characteristics.
* Comprehensive coverage of the image analysis as well as the database/theoretical aspects of image databases.
* Extensive coverage of interfaces and interaction models, with a theoretical framework for the development of new interaction schemes.
* Identifies three interaction models between users and image databases, two of which have no counterpart in traditional databases.
* Coverage of the relation between image and text, including mixed search models and the automatic determination of the relation between images and text on large corpuses like the web.
* Analysis of the process of signification in images and its influence on the interaction models and technological problems of image databases.

This book summarizes the recent research and development in the field of glass micro- and nanospheres. With special focus on the physics of spherical whispering-gallery mode resonators, it presents selected examples of application of glass microspheres in biosensing, laser devices, and microwave engineering. Hollow microspheres also offer a perspective for hydrogen transport and storage. On the other hand, glass nanospheres are fundamental for a class of photonic crystals (e.g., direct and inverse opals), as well as for industrial composite materials. Both micro- and nanospheres find important applications in biomedicine. The book highlights examples of preparation techniques and applications, addresses recent challenges, and examines potential solutions. It addresses physicists, chemists, materials scientists, and engineers, working with glass materials on microcavities, on nanotechnologies, and on their applications.

An essential reference for optical sensor system design

This is the first text to present an integrated view of the optical and mathematical analysis tools necessary to understand computational optical system design. It presents the foundations of computational optical sensor design with a focus entirely on digital imaging and spectroscopy. It systematically covers:

Coded aperture and tomographic imaging

Sampling and transformations in optical systems, including wavelets and generalized sampling techniques essential to digital system analysis

Geometric, wave, and statistical models of optical fields

The basic function of modern optical detectors and focal plane arrays

Practical strategies for coherence measurement in imaging system design

The sampling theory of digital imaging and spectroscopy for both conventional and emerging compressive and generalized measurement strategies

Measurement code design

Linear and nonlinear signal estimation

The book concludes with a review of numerous design strategies in spectroscopy and imaging and clearly outlines the benefits and limits of each approach, including coded aperture and imaging spectroscopy, resonant and filter-based systems, and integrated design strategies to improve image resolution, depth of field, and field of view.

Optical Imaging and Spectroscopy is an indispensable textbook for advanced undergraduate and graduate courses in optical sensor design. In addition to its direct applicability to optical system design, unique perspectives on computational sensor design presented in the text will be of interest for sensor designers in radio and millimeter wave, X-ray, and acoustic systems.

Photonics, a volume in the Interface Transmission Tutorial Book series, describes the science of photonic transmission properties of the interfaces of composite materials systems and devices. The book's authors review the general analysis methods of interface transmission, give many examples, and apply these methods to photonic applications. Applications discussed include photonic crystals, materials, devices and circuits.

Deep Learning for Chest Radiographs enumerates different strategies implemented by the authors for designing an efficient convolution neural network-based computer-aided classification (CAC) system for binary classification of chest radiographs into "Normal" and "Pneumonia." Pneumonia is an infectious disease mostly caused by a bacteria or a virus. The prime targets of this infectious disease are children below the age of 5 and adults above the age of 65, mostly due to their poor immunity and lower rates of recovery. Globally, pneumonia has prevalent footprints and kills more children as compared to any other immunity-based disease, causing up to 15% of child deaths per year, especially in developing countries. Out of all the available imaging modalities, such as computed tomography, radiography or X-ray, magnetic resonance imaging, ultrasound, and so on, chest radiographs are most widely used for differential diagnosis between Normal and Pneumonia. In the CAC system designs implemented in this book, a total of 200 chest radiograph images consisting of 100 Normal images and 100 Pneumonia images have been used. These chest radiographs are augmented using geometric transformations, such as rotation, translation, and flipping, to increase the size of the dataset for efficient training of the Convolutional Neural Networks (CNNs). A total of 12 experiments were conducted for the binary classification of chest radiographs into Normal and Pneumonia. It also includes in-depth implementation strategies of exhaustive experimentation carried out using transfer learning-based approaches with decision fusion, deep feature extraction, feature selection, feature dimensionality reduction, and machine learning-based classifiers for implementation of end-to-end CNN-based CAC system designs, lightweight CNN-based CAC system designs, and hybrid CAC system designs for chest radiographs. This book is a valuable resource for academicians, researchers, clinicians, postgraduate and graduate students in medical imaging, CAC, computer-aided diagnosis, computer science and engineering, electrical and electronics engineering, biomedical engineering, bioinformatics, bioengineering, and professionals from the IT industry.

"Color Management" serves as a comprehensive guide to the implementation of the ICC (International Color Consortium) profile specification, widely used for maintaining color fidelity across multi-media imaging devices and software. The book draws together many of the White Papers produced by the ICC to promote the use of color management and disseminate good practice; the ICC specification has become widely accepted within the color industry, and these papers have been updated, expanded and edited for this collection. Other chapters comprise material that will go on to form future ICC White Papers, as well as some original content. The ICC review process ensures that the material and recommendations included are collaborative, reflecting the input of the wide community of color and imaging scientists and developers who make up its membership. Readers can be assured of the best advice for achieving optimum results.Provides an overview of color management in applications and the role of ICC profiles in a color reproduction system. Presents user guidelines on color measurement procedures and discusses measurement issues for media such as optically-brightened papers and inkjet prints. Offers comprehensive guidance on the latest version of the specification and the application of the perceptual rendering intent with its reference gamut. Examines the construction and benefits of different types of ICC profiles, and sets out compliance test considerations, implementation notes and evaluation of profile quality. Includes a glossary of terms.

This book is written for color and imaging scientists developing, implementing and using color management systems within a range of imaging devices and software. Senior undergraduate and postgraduate students will also find the book of use.

"Long Wave Polar Modes in Semiconductor Heterostructures" is concerned with the study of polar optical modes in semiconductor heterostructures from a phenomenological approach and aims to simplify the model of lattice dynamics calculations. The book provides useful tools for performing calculations relevant to anyone who might be interested in practical applications.

The main focus of "Long Wave Polar Modes in Semiconductor Heterostructures" is planar heterostructures (quantum wells or barriers, superlattices, double barrier structures etc) but there is also discussion on the growing field of quantum wires and dots. Also to allow anyone reading the book to apply the techniques discussed for planar heterostructures, the scope has been widened to include cylindrical and spherical geometries.

The book is intended as an introductory text which guides the reader through basic questions and expands to cover state-of-the-art professional topics. The book is relevant to experimentalists wanting an instructive presentation of a simple phenomenological model and theoretical tools to work with and also to young theoreticians by providing discussion of basic issues and the basis of advanced theoretical formulations. The book also provides a brief respite on the physics of piezoelectric waves as a coupling to polar optical modes.

This book comprises the select proceedings of the ETAEERE 2016 conference. The book aims to shed light on different systems or machines along with their complex operation, behaviors, and linear-nonlinear relationship in different environments. It covers problems of multivariable control systems and provides the necessary background for performing research in the field of control and automation. Aimed at helping readers understand the classical and modern design of different intelligent automated systems, the book presents coverage on the control of linear and nonlinear systems, intelligent systems, stochastic control, knowledge-based systems applications, fault diagnosis and tolerant control, real-time control applications, etc. The contents of this volume will prove useful to researchers and professionals alike.

This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image processing accessible and easy to learn. It is written in a clear and concise manner with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs for the implementation of image processing algorithms. The book also offers comprehensive coverage of the following topics: Enhancement, Transform processing, Restoration, Registration, Reconstruction from projections, Morphological image processing, Edge detection, Object representation and classification, Compression, and Color processing.

This book introduces readers to innovative bio-inspired computing techniques for image processing applications. It demonstrates how a significant drawback of image processing - not providing the simultaneous benefits of high accuracy and less complexity - can be overcome, proposing bio-inspired methodologies to help do so. Besides computing techniques, the book also sheds light on the various application areas related to image processing, and weighs the pros and cons of specific methodologies. Even though several such methodologies are available, most of them do not provide the simultaneous benefits of high accuracy and less complexity, which explains their low usage in connection with practical imaging applications, such as the medical scenario. Lastly, the book illustrates the methodologies in detail, making it suitable for newcomers to the field and advanced researchers alike.

Optical Materials, Second Edition, presents, in a unified form, the underlying physical and structural processes that determine the optical behavior of materials. It does this by combining elements from physics, optics, and materials science in a seamless manner, and introducing quantum mechanics when needed. The book groups the characteristics of optical materials into classes with similar behavior. In treating each type of material, the text pays particular attention to atomic composition and chemical makeup, electronic states and band structure, and physical microstructure so that the reader will gain insight into the kinds of materials engineering and processing conditions that are required to produce a material exhibiting a desired optical property. The physical principles are presented on many levels, including a physical explanation, followed by formal mathematical support and examples and methods of measurement. The reader may overlook the equations with no loss of comprehension, or may use the text to find appropriate equations for calculations of optical properties.

This self-contained and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, which are explained in a concise, yet rigorous presentation. With abundant practice exercises and thorough explanations, A First Course in Statistics for Signal Analysis is an excellent tool for both teaching students and training laboratory scientists and engineers. Improvements in the second edition include considerably expanded sections, enhanced precision, and more illustrative figures.

This book presents select proceedings of the International Conference on Futuristic Communication and Network Technologies (CFCNT 2020) conducted at Vellore Institute of Technology, Chennai. It covers various domains in communication engineering and networking technologies. This volume comprises of recent research in areas like optical communication, optical networks, optics and optical computing, emerging trends in photonics, MEMS and sensors, active and passive RF components and devices, antenna systems and applications, RF devices and antennas for microwave emerging technologies, wireless communication for future networks, signal and image processing, machine learning/AI for networks, internet of intelligent things, network security and blockchain technologies. This book will be useful for researchers, professionals, and engineers working in the core areas of electronics and communication.

This book introduces the basic analysis methods in signal processing, principles of various sensors and the concept of measurement system. To make students better understand and apply the theories, the book includes many MATLAB examples, such as the generation of standard signals and the spectrum analysis of audio signals in the signal processing part and Arduino examples as well, such as temperature measuring and ultrasonic ranging to show the applications of sensors. Readers can not only learn the fundamental theories but also get many opportunities to apply the theories to perform measurement tasks.

The use of fibre optic sensors in structural health monitoring has rapidly accelerated in recent years. By embedding fibre optic sensors in structures (e.g. buildings, bridges and pipelines) it is possible to obtain real time data on structural changes such as stress or strain. Engineers use monitoring data to detect deviations from a structure's original design performance in order to optimise the operation, repair and maintenance of a structure over time.

"Fibre Optic Methods for Structural Health Monitoring" is organised as a step-by-step guide to implementing a monitoring system and includes examples of common structures and their most-frequently monitored parameters. This book: presents a universal method for static structural health monitoring, using a technique with proven effectiveness in hundreds of applications worldwide; discusses a variety of different structures including buildings, bridges, dams, tunnels and pipelines; features case studies which describe common problems and offer solutions to those problems; provides advice on establishing mechanical parameters to monitor (including deformations, rotations and displacements) and on placing sensors to achieve monitoring objectives; identifies methods for interpreting data according to construction material and shows how to apply numerical concepts and formulae to data in order to inform decision making.

"Fibre Optic Methods for Structural Health Monitoring" is an invaluable reference for practising engineers in the fields of civil, structural and geotechnical engineering. It will also be of interest to academics and undergraduate/graduate students studying civil and structural engineering.

This book explores recursive architectures in designing progressive hyperspectral imaging algorithms. In particular, it makes progressive imaging algorithms recursive by introducing the concept of Kalman filtering in algorithm design so that hyperspectral imagery can be processed not only progressively sample by sample or band by band but also recursively via recursive equations. This book can be considered a companion book of author's books, Real-Time Progressive Hyperspectral Image Processing, published by Springer in 2016.

An introduction to the most relevant theoretical and algorithmic aspects of modern microwave imaging approaches

Microwave imaging--a technique used in sensing a given scene by means of interrogating microwaves--has recently proven its usefulness in providing excellent diagnostic capabilities in several areas, including civil and industrial engineering, nondestructive testing and evaluation, geophysical prospecting, and biomedical engineering.

"Microwave Imaging" offers comprehensive descriptions of the most important techniques so far proposed for short-range microwave imaging--including reconstruction procedures and imaging systems and apparatus--enabling the reader to use microwaves for diagnostic purposes in a wide range of applications. This hands-on resource features:

A review of the electromagnetic inverse scattering problem formulation, written from an engineering perspective and with notations

The most effective reconstruction techniques based on diffracted waves, including time- and frequency-domain methods, as well as deterministic and stochastic space-domain procedures

Currently proposed imaging apparatus, aimed at fast and accurate measurements of the scattered field data

Insight on near field probes, microwave axial tomographs, and microwave cameras and scanners

A discussion of practical applications with detailed descriptions and discussions of several specific examples (e.g., materials evaluation, crack detection, inspection of civil and industrial structures, subsurface detection, and medical applications)

A look at emerging techniques and future trends

"Microwave Imaging" is a practical resource for engineers, scientists, researchers, and professors in the fields of civil and industrial engineering, nondestructive testing and evaluation, geophysical prospecting, and biomedical engineering.

Based on a symposium in Chicago, October 1988, 26 papers report (then) current research in photonics. The general topics are nonlinear optical applications to surface physics, ultrafast spectroscopy of photochemistry, optical device physics, semiconductor physics, biophysics, polymers, integrated op

An in-depth look at the luminescence of phosphor materials for applications in optical devices, sensors, and medical technologies. Optical Properties of Phosphate and Pyrophosphate Compounds gives a broad introduction to pyrophosphates and phosphate-based phosphors, including their fundamental properties, material composition, synthesis methods, characterization techniques, and applications in optical devices and technologies. The text describes the development of the materials' shape and size, as well as crucial characterization techniques for key applications. Additionally, it includes essential information about recently used single and mixed cations pyrophosphate and phosphate compounds. This book is suitable for researchers working in materials science, engineering, materials chemistry, and physics. It may also be helpful to engineers and chemists working in R&D for solid state lighting.

A practical, hands-on guidebook for the efficient modeling of VCSELs

Vertical Cavity Surface Emitting Lasers (VCSELs) are a unique type of semiconductor laser whose optical output is vertically emitted from the surface as opposed to conventional edge-emitting semiconductor lasers. Complex in design and expensive to produce, VCSELs nevertheless represent an already widely used laser technology that promises to have even more significant applications in the future. Although the research has accelerated, there have been relatively few books written on this important topic.

Analysis and Design of Vertical Cavity Surface Emitting Lasers seeks to encapsulate this growing body of knowledge into a single, comprehensive reference that will be of equal value for both professionals and academics in the field. The author, a recognized expert in the field of VCSELs, attempts to clarify often conflicting assumptions in order to help readers achieve the simplest and most efficient VCSEL models for any given problem.

Highlights of the text include:

• A clear and comprehensive theoretical treatment of VCSELs
• Detailed derivations for understanding the operational principles of VCSELs
• Mathematical models for the investigation of electrical, optical, and thermal properties of VCSELs
• Case studies on the mathematical modeling of VCSELs and the implementation of simulation programs

This book systematically presents energy-efficient robust fusion estimation methods to achieve thorough and comprehensive results in the context of network-based fusion estimation. It summarizes recent findings on fusion estimation with communication constraints; several novel energy-efficient and robust design methods for dealing with energy constraints and network-induced uncertainties are presented, such as delays, packet losses, and asynchronous information... All the results are presented as algorithms, which are convenient for practical applications.

Three experts in the field of thin-film optics present a detailed and self-contained theoretical study of planar multilayers and how they can be effectively exploited in both traditional and modern applications. Starting with a discussion of the relevant electromagnetic optics, the fundamental optical properties of multilayers are introduced using an electromagnetic approach based on a direct solving of Maxwell's equations by Fourier transforms. This powerful approach is illustrated through the comprehensive description of two of the most important phenomena in multilayers, i.e. giant field enhancement in dielectric stacks and light scattering from thin-film optical filters. The same approach is extended to the description of the operation of planar microcavities and the balance of energy between radiated and trapped light. This book will be valuable to researchers, engineers and graduate students with interests in nanophotonics, optical telecommunications, observational astronomy and gravitational wave detection.

A cohesive view of the expanding field of optical scanning, in a single compact volume

Optical scanning is a systematic sampling of spatial information, transforming images or data to or from a temporal signal for electronic processing. The field of optical information handling has been developing rapidly, with many of its classical forms being transformed in new and fascinating ways. For instance, the once-discrete fields of serial and parallel optical information transfer are evolving into new hybrid systems as researchers add the flexibility of optical scanning for greater operational advantage in data manipulation and transfer. Insight for such creative advancement is fostered with the unification of unapparent or secluded concepts.

Written by an award-winning leader in the field, this is a thoroughly integrated overview of the many facets and disciplines of optical scanning. It brings together scanning theory, scanned resolution, deflection and modulation devices, optical transfer techniques, positional error analysis and control, system architecture, new research, and the unification of complementary or analogous processes, such as active and passive scanning systems.

Of particular utility to both practitioner and student are such features as:

• An overview of the technology and unifying principles, including active and passive scanning, optical transfer, and system architecture
• In-depth chapters on scanning theory and processes, scanned resolution, scanner devices and techniques, and the control of scanner beam misplacement
• A comprehensive review of the government-sponsored research of agile beam steering, now primed for commercial adaptation
• A unique focus on the Lagrange invariant and its revealing resolution invariant

Reconstructing or approximating objects from seemingly incomplete information is a frequent challenge in mathematics, science, and engineering. A multitude of tools designed to recover hidden information are based on Shannon's classical sampling theorem, a central pillar of Sampling Theory. The growing need to efficiently obtain precise and tailored digital representations of complex objects and phenomena requires the maturation of available tools in Sampling Theory as well as the development of complementary, novel mathematical theories. Today, research themes such as Compressed Sensing and Frame Theory re-energize the broad area of Sampling Theory. This volume illustrates the renaissance that the area of Sampling Theory is currently experiencing. It touches upon trendsetting areas such as Compressed Sensing, Finite Frames, Parametric Partial Differential Equations, Quantization, Finite Rate of Innovation, System Theory, as well as sampling in Geometry and Algebraic Topology.

This textbook covers the fundamental theories of signals and systems analysis, while incorporating recent developments from integrated circuits technology into its examples. Starting with basic definitions in signal theory, the text explains the properties of continuous-time and discrete-time systems and their representation by differential equations and state space. From those tools, explanations for the processes of Fourier analysis, the Laplace transform, and the z-Transform provide new ways of experimenting with different kinds of time systems. The text also covers the separate classes of analog filters and their uses in signal processing applications. Intended for undergraduate electrical engineering students, chapter sections include exercise for review and practice for the systems concepts of each chapter. Along with exercises, the text includes MATLAB-based examples to allow readers to experiment with signals and systems code on their own. An online repository of the MATLAB code from this textbook can be found at github.com/springer-math/signals-and-systems.