Image Processing

The Fundamentals

Author: Maria Petrou,Costas Petrou

Publisher: John Wiley & Sons

ISBN: 047074586X

Category: Science

Page: 818

View: 9523

Following the success of the first edition, this thoroughly updated second edition of Image Processing: The Fundamentals will ensure that it remains the ideal text for anyone seeking an introduction to the essential concepts of image processing. New material includes image processing and colour, sine and cosine transforms, Independent Component Analysis (ICA), phase congruency and the monogenic signal and several other new topics. These updates are combined with coverage of classic topics in image processing, such as orthogonal transforms and image enhancement, making this a truly comprehensive text on the subject. Key features: Presents material at two levels of difficulty: the main text addresses the fundamental concepts and presents a broad view of image processing, whilst more advanced material is interleaved in boxes throughout the text, providing further reference for those who wish to examine each technique in depth. Contains a large number of fully worked out examples. Focuses on an understanding of how image processing methods work in practice. Illustrates complex algorithms on a step-by-step basis, and lists not only the good practices but also identifies the pitfalls in each case. Uses a clear question and answer structure. Includes a CD containing the MATLAB® code of the various examples and algorithms presented in the book. There is also an accompanying website with slides available for download for instructors as a teaching resource. Image Processing: The Fundamentals, Second Edition is an ideal teaching resource for both undergraduate and postgraduate students. It will also be of value to researchers of various disciplines from medicine to mathematics with a professional interest in image processing

Digital Image Fundamentals in MATLAB

Author: Mohammad Nuruzzaman

Publisher: N.A

ISBN: 9781420869651

Category: Mathematics

Page: 248

View: 8308

The book is mainly concerned with the fundamental Digital Image Processing (DIP) problems much found in the DIP textbooks. Emphasis has been given to the subjective implementation on the DIP problems while working in MATLAB. Starting from simplistic example without undue neglect of mathematical intricacies and making the reader able to tackle a practical DIP problem are the salient features of the text. However, the notable features of the text are as follows: A step by step guide for the Digital Image Processing undergraduate and graduate students while using MATLAB as their working platform Introduces modular image examples so that the reader can grasp the concept quickly and manipulate the practical images very easily Image processing engineers, teachers, researchers, and scientists willing to work in MATLAB may benefit from the text Made-easy approach and clear presentation style comfort the average reader to go through the Digital Image Processing know-how immediately Minute implementational descriptions are taken care of considering adequate image examples Suited to individual or classroom practice Ten chapters in the text narrate the following: 1. Introduction to MATLAB 2. Digital Image Fundamentals 3. Digital Images In Spatial Domain 4. Digital Image Transforms 5. Digital Image Filtering 6. Digital Image Properties and Edges 7. Image Degradation and Restoration 8. Morphological Image Processing 9. Miscellaneous Image Processing 10. Programming Issues

Optical and Digital Image Processing

Fundamentals and Applications

Author: Gabriel Cristobal,Peter Schelkens,Hugo Thienpont

Publisher: John Wiley & Sons

ISBN: 3527635254

Category: Technology & Engineering

Page: 988

View: 2461

In recent years, Moore's law has fostered the steady growth of the field of digital image processing, though the computational complexity remains a problem for most of the digital image processing applications. In parallel, the research domain of optical image processing has matured, potentially bypassing the problems digital approaches were suffering and bringing new applications. The advancement of technology calls for applications and knowledge at the intersection of both areas but there is a clear knowledge gap between the digital signal processing and the optical processing communities. This book covers the fundamental basis of the optical and image processing techniques by integrating contributions from both optical and digital research communities to solve current application bottlenecks, and give rise to new applications and solutions. Besides focusing on joint research, it also aims at disseminating the knowledge existing in both domains. Applications covered include image restoration, medical imaging, surveillance, holography, etc... "a very good book that deserves to be on the bookshelf of a serious student or scientist working in these areas." Source: Optics and Photonics News

DIGITAL IMAGE PROCESSING

AN ALGORITHMIC APPROACH

Author: Joshi, Madhuri A.

Publisher: PHI Learning Pvt. Ltd.

ISBN: 9387472590

Category:

Page: 480

View: 8912

This introduction to the fundamental concepts and methodologies of image processing is suitable for first-year postgraduate and senior undergraduate students in almost every engineering discipline, and in particular meets the requirement of the prescribed courses in the streams: Electronics and Communication, Computer Science and Engineering, Information Technology, and Computer Applications. The book, now in its second edition, continues to offer a balanced exposition of the basic principles and applications of image processing. It lays considerable emphasis on the algorithmic approach in order to teach students how to write good practical programs for problem solving. Major topics covered in the book include Image fundamentals, Different image transforms, Image enhancement in the spatial and frequency domains, Restoration, Image analysis, Image description, Image compression, Image reconstruction from projections, and Applications of image processing in the areas of biometrics, speaker recognition, satellite imaging, medical imaging, and many more. The style of presentation is comprehensive and application oriented, comprising examples, diagrams, image results, case studies of applications, and review questions—making it easy for students to understand key ideas, their practical relevance and applications. NEW TO THIS EDITION • Object representation, recognition and classification • MATLAB programs for image processing • OpenCV programs for image processing

Signal And Image Processing Sourcebook

Author: Robert Libbey

Publisher: Springer Science & Business Media

ISBN: 9780442308612

Category: Technology & Engineering

Page: 450

View: 8634

Comprehensive and packed with practical examples, Signal and Image Processing Sourcebook is your complete guide to the rapidly-expanding world of signal and image processing. As well as providing a thorough discussion of the basics of both analog and digital signal and image processing, this indispensable sourcebook offers a uniquely integrated approach for understanding the historical and technical relationships between the types of signal processing in the most critical fields. Establishing the fundamentals of signal and image processing in audio, radio, television, and HDTV, the early chapters of the Sourcebook lucidly chronicle the development of analog signal processing in these areas, leading the reader into a far fuller understanding of their digital signal processing counterparts. The technological background established in these early chapters - especially in the production and processing of television images - vividly illuminates the development of the sophisticated image processing employed in contemporary radar, space exploration, and medical radiological imaging. Continuing this integrated approach, the author links the fundamentals of analog telephony to the development of modern digital signal processing in telecommunications and networking. A detailed account of microprocessor technology further integrates the overall picture of the field of contemporary signal and image processing. Logically, the discussion is extended to the aspects of signal processing involved in artificial intelligence and neural networks. Throughout the book, a wealth of examples and illustrations drawn from the fields of medicine, space technology, communications, biology, and business illuminate the historical and technical processes and interrelationships discussed in this unusually profound, informative, and far-reaching study.

Image Processing and Pattern Recognition

Fundamentals and Techniques

Author: Frank Y. Shih

Publisher: John Wiley & Sons

ISBN: 9780470590409

Category: Technology & Engineering

Page: 552

View: 6287

A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems and applications. Unlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic. Featuring supplemental materials for instructors and students, Image Processing and Pattern Recognition is designed for undergraduate seniors and graduate students, engineering and scientific researchers, and professionals who work in signal processing, image processing, pattern recognition, information security, document processing, multimedia systems, and solar physics.

Fundamentals of Digital Image Processing

A Practical Approach with Examples in Matlab

Author: Chris Solomon,Toby Breckon

Publisher: John Wiley & Sons

ISBN: 1119957001

Category: Science

Page: 344

View: 2252

This is an introductory to intermediate level text on the science of image processing, which employs the Matlab programming language to illustrate some of the elementary, key concepts in modern image processing and pattern recognition. The approach taken is essentially practical and the book offers a framework within which the concepts can be understood by a series of well chosen examples, exercises and computer experiments, drawing on specific examples from within science, medicine and engineering. Clearly divided into eleven distinct chapters, the book begins with a fast-start introduction to image processing to enhance the accessibility of later topics. Subsequent chapters offer increasingly advanced discussion of topics involving more challenging concepts, with the final chapter looking at the application of automated image classification (with Matlab examples) . Matlab is frequently used in the book as a tool for demonstrations, conducting experiments and for solving problems, as it is both ideally suited to this role and is widely available. Prior experience of Matlab is not required and those without access to Matlab can still benefit from the independent presentation of topics and numerous examples. Features a companion website www.wiley.com/go/solomon/fundamentals containing a Matlab fast-start primer, further exercises, examples, instructor resources and accessibility to all files corresponding to the examples and exercises within the book itself. Includes numerous examples, graded exercises and computer experiments to support both students and instructors alike.

Fundamentals of Electronic Imaging Systems

Some Aspects of Image Processing

Author: William F. Schreiber

Publisher: Springer Science & Business Media

ISBN: 364277847X

Category: Technology & Engineering

Page: 332

View: 1938

Image processing is a fascinating applications area, not a fundamental science of sufficient generality to warrant studying it for its own sake. In this area, there are many opportunities to apply art and experience, as well as knowledge from a number of sciences and engineering disciplines, to the creation of products and processes for which society has an expressed need. Without this need, work in the field would be sterile, but with it, image processing can readily provide the interested scientist or engineer with a professioilal lifetime of challenging problems and corresponding rewards. This point of view motivates this book and has influenced the selection and treatment of topics. I have not attempted to 1 be encyclopedic; this service has already been performed by others. It will be noted that the word "digital" is not in the title of this book. While much of present-day image processing is implemented digitally, this work is not intended for those who think of image processing as a branch of digital signal processing, except, perhaps, to try to change their minds. Image gathering and image display, vital parts of the field with strong effects on image quality, are inherently analog, as are all of the channels and media now used, or likely to be used in the future, to record TV signals and to transmit them to the home.

Fundamentals of Three-dimensional Digital Image Processing

Author: Junichiro Toriwaki,Hiroyuki Yoshida

Publisher: Springer Science & Business Media

ISBN: 184800172X

Category: Computers

Page: 269

View: 1960

This book is a detailed description of the basics of three-dimensional digital image processing. A 3D digital image (abbreviated as “3D image” below) is a digitalized representation of a 3D object or an entire 3D space, stored in a computer as a 3D array. Whereas normal digital image processing is concerned with screens that are a collection of square shapes called “pixels” and their corresponding density levels, the “image plane” in three dimensions is represented by a division into cubical graphical elements (called “voxels”) that represent corresponding density levels. Inthecontextofimageprocessing,in manycases3Dimageprocessingwill refer to the input of multiple 2D images and performing processing in order to understand the 3D space (or “scene”) that they depict. This is a result of research into how to use input from image sensors such as television cameras as a basis for learning about a 3D scene, thereby replicating the sense of vision for humans or intelligent robots, and this has been the central problem in image processing research since the 1970s. However, a completely di?erent type of image with its own new problems, the 3D digital image discussed in this book, rapidly took prominence in the 1980s, particularly in the ?eld of medical imaging. These were recordings of human bodies obtained through computed (or “computerized”) tomography (CT),imagesthatrecordednotonlytheexternal,visiblesurfaceofthesubject but also, to some degree of resolution, its internal structure. This was a type of image that no one had experienced before.

Digital Color Image Processing

Author: Andreas Koschan,Mongi Abidi

Publisher: John Wiley & Sons

ISBN: 0470230355

Category: Technology & Engineering

Page: 392

View: 7300

An introduction to color in three-dimensional image processing and the emerging area of multi-spectral image processing The importance of color information in digital image processing is greater than ever. However, the transition from scalar to vector-valued image functions has not yet been generally covered in most textbooks. Now, Digital Color Image Processing fills this pressing need with a detailed introduction to this important topic. In four comprehensive sections, this book covers: The fundamentals and requirements for color image processing from a vector-valued viewpoint Techniques for preprocessing color images Three-dimensional scene analysis using color information, as well as the emerging area of multi-spectral imaging Applications of color image processing, presented via the examination of two case studies In addition to introducing readers to important new technologies in the field, Digital Color Image Processing also contains novel topics such as: techniques for improving three-dimensional reconstruction, three-dimensional computer vision, and emerging areas of safety and security applications in luggage inspection and video surveillance of high-security facilities. Complete with full-color illustrations and two applications chapters, Digital Color Image Processing is the only book that covers the breadth of the subject under one convenient cover. It is written at a level that is accessible for first- and second-year graduate students in electrical and computer engineering and computer science courses, and that is also appropriate for researchers who wish to extend their knowledge in the area of color image processing.

Digitale Bildverarbeitung

Eine Einführung mit Java und ImageJ

Author: Wilhelm Burger,Mark James Burge

Publisher: Springer-Verlag

ISBN: 354027653X

Category: Computers

Page: 532

View: 3488

Die Autoren geben eine fundierte Einführung in die wichtigsten Methoden der digitalen Bildverarbeitung. Dabei steht die praktische Anwendbarkeit im Vordergrund, formale und mathematische Aspekte sind auf das Wesentliche reduziert, ohne dabei auf eine präzise und konsistente Vorgehensweise zu verzichten. Der Text eignet sich für technisch orientierte Studiengänge ab dem 3.Semester und basiert auf der mehrjährigen Lehrerfahrung der Autoren zu diesem Thema. Der Einsatz in der Lehre wird durch zahlreiche praktische Übungsaufgaben unterstützt. Das Buch eignet sich auch als detaillierte Referenz für Praktiker und Anwender gängiger Verfahren der digitalen Bildverarbeitung, z.B. in der Medizin, der Materialprüfung, der Robotik oder der Medientechnik. Softwareseitig basiert das Buch auf der in Java implementierten und frei verfügbaren Bildverarbeitungsumgebung ImageJ.

The Art of Image Processing with Java

Author: Kenny A. Hunt

Publisher: CRC Press

ISBN: 1568817177

Category: Computers

Page: 300

View: 1372

While most other image processing texts approach this subject from an engineering perspective, The Art of Image Processing with Java places image processing within the realm of both engineering and computer science students by emphasizing software design. Ideal for students studying computer science or software engineering, it clearly teaches them the fundamentals of image processing. Accompanied by rich illustrations that demonstrate the results of performing processing on well-known art pieces, the text builds an accessible mathematical foundation and includes extensive sample Java code. Each chapter provides exercises to help students master the material.

Digital Image Processing

Author: Rafael C. Gonzalez,Richard E. Woods

Publisher: Pearson Higher Ed

ISBN: 0133002322

Category: Technology & Engineering

Page: 976

View: 1155

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For courses in Image Processing and Computer Vision. Completely self-contained—and heavily illustrated—this introduction to basic concepts and methodologies for digital image processing is written at a level that truly is suitable for seniors and first-year graduate students in almost any technical discipline. The leading textbook in its field for more than twenty years, it continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing—e.g., image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description, and the fundamentals of object recognition. It focuses on material that is fundamental and has a broad scope of application.

Digital Image Analysis of Microbes

Imaging, Morphometry, Fluorometry and Motility Techniques and Applications

Author: M. H. F. Wilkinson,F. Schut

Publisher: John Wiley & Sons

ISBN: 9780471974406

Category: Science

Page: 551

View: 9683

Providing specific knowledge in the theory of image analysis, optics, fluorescence, and imaging devices in biomedical laboratories, this timely and indispensable volume focuses on the theory and applications of detection, morphometry, and motility measurement techniques applied to bacteria, fungi, yeasts and protozoa.

Techniques for Image Processing and Classifications in Remote Sensing

Author: Robert A. Schowengerdt

Publisher: Academic Press

ISBN: 0323138551

Category: Technology & Engineering

Page: 249

View: 3681

Techniques for Image Processing and Classifications in Remote Sensing provides an introduction to the fundamentals of computer image processing and classification (commonly called ""pattern recognition"" in other applications). The book begins with a discussion of digital scanners and imagery, and two key mathematical concepts for image processing and classification—spatial filtering and statistical pattern recognition. This is followed by separate chapters on image processing and classification techniques that are widely used in the remote sensing community. The emphasis throughout is on techniques that assist in the analysis of images, not particular applications of these techniques. The book also has four appendixes, featuring a bibliography; an introduction to computer binary data representation and image data formats; a discussion of interactive image processing; and a selection of exam questions from the Image Processing Laboratory course at the University of Arizona. This book is intended for use as either a primary source in an introductory image processing course or as a supplementary text in an intermediate-level remote sensing course. The academic level addressed is upper-division undergraduate or beginning graduate, and familiarity with calculus and basic vector and matrix concepts is assumed.

Digital Image Processing and Analysis

Human and Computer Vision Applications with CVIPtools, Second Edition

Author: Scott E Umbaugh

Publisher: CRC Press

ISBN: 143980205X

Category: Technology & Engineering

Page: 977

View: 800

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.

Fundamentals of Digital Image Processing

Author: Anil K. Jain

Publisher: N.A

ISBN: N.A

Category: Technology & Engineering

Page: 569

View: 1272

Introduction. Two-dimensional systems and mathematical preliminaries. Image perception. Image sampling and quatization. Image transforms. Image representation by stochastic models. Image enhancement. Image reconstruction from projections. Image data compression.

Fundamentals of Electronic Image Processing

Author: Arthur R. Weeks

Publisher: N.A

ISBN: 9780819491602

Category:

Page: 588

View: 9351

This text is aimed at practicing engineers and scientists who need to understand the fundamentals of image processing theory and algorithms to perform their technical tasks. A variety of example images are used to help readers' understanding of how particular image processing algorithms work.

Digital Image Processing

A Signal Processing and Algorithmic Approach

Author: D. Sundararajan

Publisher: Springer

ISBN: 9811061130

Category: Computers

Page: 468

View: 1553

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.