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Ilias G. Maglogiannis Image and Signal Processing for Networked eHealth Applications

Patrick Siarry Optimisation in Signal and Image Processing


This book describes the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian approach; wavelets and fractals; information criteria; training and quadratic programming; Bayesian formalism; probabilistic modeling; Markovian approach; hidden Markov models; and metaheuristics (genetic algorithms, ant colony algorithms, cross-entropy, particle swarm optimization, estimation of distribution algorithms, and artificial immune systems).

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Eric Dubois Multidimensional Signal and Color Image Processing Using Lattices

Bu-Chin Wang Digital Signal Processing Techniques and Applications in Radar Image Processing


A self-contained approach to DSP techniques and applications in radar imaging The processing of radar images, in general, consists of three major fields: Digital Signal Processing (DSP); antenna and radar operation; and algorithms used to process the radar images. This book brings together material from these different areas to allow readers to gain a thorough understanding of how radar images are processed. The book is divided into three main parts and covers: * DSP principles and signal characteristics in both analog and digital domains, advanced signal sampling, and interpolation techniques * Antenna theory (Maxwell equation, radiation field from dipole, and linear phased array), radar fundamentals, radar modulation, and target-detection techniques (continuous wave, pulsed Linear Frequency Modulation, and stepped Frequency Modulation) * Properties of radar images, algorithms used for radar image processing, simulation examples, and results of satellite image files processed by Range-Doppler and Stolt interpolation algorithms The book fully utilizes the computing and graphical capability of MATLAB? to display the signals at various processing stages in 3D and/or cross-sectional views. Additionally, the text is complemented with flowcharts and system block diagrams to aid in readers' comprehension. Digital Signal Processing Techniques and Applications in Radar Image Processing serves as an ideal textbook for graduate students and practicing engineers who wish to gain firsthand experience in applying DSP principles and technologies to radar imaging.

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Kurt Bryan Discrete Fourier Analysis and Wavelets


Delivers an appropriate mix of theory and applications to help readers understand the process and problems of image and signal analysis Maintaining a comprehensive and accessible treatment of the concepts, methods, and applications of signal and image data transformation, this Second Edition of Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing features updated and revised coverage throughout with an emphasis on key and recent developments in the field of signal and image processing. Topical coverage includes: vector spaces, signals, and images; the discrete Fourier transform; the discrete cosine transform; convolution and filtering; windowing and localization; spectrograms; frames; filter banks; lifting schemes; and wavelets. Discrete Fourier Analysis and Wavelets introduces a new chapter on frames—a new technology in which signals, images, and other data are redundantly measured. This redundancy allows for more sophisticated signal analysis. The new coverage also expands upon the discussion on spectrograms using a frames approach. In addition, the book includes a new chapter on lifting schemes for wavelets and provides a variation on the original low-pass/high-pass filter bank approach to the design and implementation of wavelets. These new chapters also include appropriate exercises and MATLAB® projects for further experimentation and practice. • Features updated and revised content throughout, continues to emphasize discreteand digital methods, and utilizes MATLAB® to illustrate these concepts • Contains two new chapters on frames and lifting schemes, which take into account crucial new advances in the field of signal and image processing • Expands the discussion on spectrograms using a frames approach, which is an ideal method for reconstructing signals after information has been lost or corrupted (packet erasure) • Maintains a comprehensive treatment of linear signal processing for audio and image signals with a well-balanced and accessible selection of topics that appeal to a diverse audience within mathematics and engineering • Focuses on the underlying mathematics, especially the concepts of finite-dimensional vector spaces and matrix methods, and provides a rigorous model for signals and images based on vector spaces and linear algebra methods • Supplemented with a companion website containing solution sets and software exploration support for MATLAB and SciPy (Scientific Python) Thoroughly class-tested over the past fifteen years, Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing is an appropriately self-contained book ideal for a one-semester course on the subject. S. Allen Broughton, PhD, is Professor Emeritus of Mathematics at Rose-Hulman Institute of Technology. Dr. Broughton is a member of the American Mathematical Society (AMS) and the Society for the Industrial Applications of Mathematics (SIAM), and his research interests include the mathematics of image and signal processing, and wavelets. Kurt Bryan, PhD, is Professor of Mathematics at Rose-Hulman Institute of Technology. Dr. Bryanis a member of MAA and SIAM and has authored over twenty peer-reviewed journal articles. Kurt Bryan, PhD, is Professor of Mathematics at Rose-Hulman Institute of Technology. Dr. Bryanis a member of MAA and SIAM and has authored over twenty peer-reviewed journal articles.Maintaining a comprehensive and accessible treatment of the concepts, methods, and applications of signal and image data transformation, this Second Edition of Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing features updated and r

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Amine Nait-Ali Compression of Biomedical Images and Signals


During the last decade, image and signal compression for storage and transmission purpose has seen a great expansion. But what about medical data compression? Should a medical image or a physiological signal be processed and compressed like any other data? The progress made in imaging systems, storing systems and telemedicine makes compression in this field particularly interesting. However, this compression has to be adapted to the specificities of biomedical data which contain diagnosis information. As such, this book offers an overview of compression techniques applied to medical data, including: physiological signals, MRI, X-ray, ultrasound images, static and dynamic volumetric images. Researchers, clinicians, engineers and professionals in this area, along with postgraduate students in the signal and image processing field, will find this book to be of great interest.

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Светильник Paulmann 94261 Ilias Alugrey


9990 RUR
94261 Ilias Alugrey Paulmann

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Isabelle Bloch Information Fusion in Signal and Image Processing


The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. As such, this books offers an overview of the general principles and specificities of information fusion in signal and image processing, as well as covering the main numerical methods (probabilistic approaches, fuzzy sets and possibility theory and belief functions).

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Todd A. Ell Quaternion Fourier Transforms for Signal and Image Processing


Based on updates to signal and image processing technology made in the last two decades, this text examines the most recent research results pertaining to Quaternion Fourier Transforms. QFT is a central component of processing color images and complex valued signals. The book’s attention to mathematical concepts, imaging applications, and Matlab compatibility render it an irreplaceable resource for students, scientists, researchers, and engineers.

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Gérard Blanchet Digital Signal and Image Processing using MATLAB, Volume 1


This fully revised and updated second edition presents the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is supported by exercises and computer simulations relating to real applications. More than 200 programs and functions are provided in the MATLABÒ language, with useful comments and guidance, to enable numerical experiments to be carried out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject. This fully revised new edition updates : – the introduction to MATLAB programs and functions as well as the Graphically displaying results for 2D displays – Calibration fundamentals for Discrete Time Signals and Sampling in Deterministic signals – image processing by modifying the contrast – also added are examples and exercises.

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Ilias Maglogiannis | Department of Digital Systems

Dr. Ilias G. MAGLOGIANNIS is the Director of the Computational Biomedicine Laboratory in the Dept of Digital Systems in the University of Piraeus (http://cbml.ds.unipi.gr).

Ilias G. Maglogiannis eBooks kostenlos online lesen ...

Ilias G. Maglogiannis. Ilias G. Maglogiannis. Neuen Veröffentlichungen folgen. Geben Sie Ihre E-Mail-Adresse ein und bleiben Sie dank neuster Nachrichten immer auf dem Laufenden. Geben Sie Ihre E-Mail-Adresse im Format [email protected] ein. Abonnieren. Geben Sie eine andere E-Mail-Adresse an. Zurück. Bücher 1; Bestseller. Lesen . Alle Bücher von diesem Autor. Beliebt. Nach Datum. Nach Reihe ...

Maglogiannis Ilias - unipi.gr

Dr. Ilias Maglogiannis is Professor at the Dept of Digital Systems in the University of Piraeus and Director of Computational Biomedicine Lab (www.cbml.ds.unipi.gr). He received a Diploma in Electrical & Computer Engineering and a Ph.D. in Biomedical Engineering from the National Technical University of Athens (NTUA) Greece.

Ilias MAGLOGIANNIS | Faculty | PhD | University of Piraeus ...

Ilias Maglogiannis Chrisina Jayne This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2019, held in Xersonisos ...

Dr. Ilias G. Maglogiannis - spie.org

Dr. Ilias G. Maglogiannis Lecturer : SPIE Leadership: Retrieving Data, please wait... SPIE Membership: 2.0 years total | 1.0 years voting : SPIE Involvement: Retrieving Data, please wait... Contact Details: Sign In. Sign In to send a private message or view contact details . SPIE Volunteer Activities : Retrieving Data, please wait... Upcoming Presentations Most Recent | Show All Retrieving ...

Ilias G Maglogiannis - Home

Ilias G Maglogiannis. Search for Ilias G Maglogiannis's work. Search Search. Home Ilias G Maglogiannis. Ilias G Maglogiannis. Skip slideshow. Most frequent co-Author ...

‪Ilias Maglogiannis‬ - ‪Google Scholar‬

Ilias Maglogiannis. Professor Dept. of Digital Systems University of Piraeus. Verified email at unipi.gr - Homepage. Biomedical Informatics Image Processing and Computer Vision Multimedia Sound Processing. Articles Cited by Co-authors. Title. Sort. Sort by citations Sort by year Sort by title. Cited by. Cited by. Year; Mobile healthcare information management utilizing Cloud Computing and ...

Ilias G. Maglogiannis, Image and Signal Processing for ...

Ilias G. Maglogiannis. Image and Signal Processing for Networked eHealth Applications read book. Image and Signal Processing for Networked eHealth Applications PDF. Authors: Ilias G. Maglogiannis, Kostas Karpouzis, Manolis Wallace. From the series: Synthesis Lectures on Biomedical Engineering. 0. rate . 0 ...

Maglogiannis Ilias - Vice Chair - IEEE EMB Greece Chapter ...

Dr. Ilias Maglogiannis is Professor at the Dept of Digital Systems in the University of Piraeus and Director of Computational Biomedicine Lab (www.cbml.ds.unipi.gr). He received a Diploma in...

Ilias Maglogiannis - Home

Ilias Maglogiannis. Search for Ilias Maglogiannis's work. Search Search. Home Ilias Maglogiannis. Ilias Maglogiannis. Skip slideshow. Most frequent co-Author ...

ILIAS Uni Köln - Magazin

Willkommen auf der E-Learning-Plattform der Universität zu Köln. Alle verfügbaren E-Learning-Angebote finden Sie in den entsprechenden Kategorien des Magazins, das nach den jeweiligen Fakultäten und Fachbereichen geordnet ist.

Ilias G. Maglogiannis: free download. Ebooks library. On ...

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Dr. Ilias G. Maglogiannis Profile

Dr. Ilias G. Maglogiannis. Lecturer. SPIE Involvement: Author Publications (1) Proceedings Article | 22 May 2003. A digital image acquisition system for skin lesions. Ilias Maglogiannis, ...

Ilias Maglogiannis – eHealth Forum 2016

Dr. Ilias G. Maglogiannis is an Associate Professor in the Dept. of Digital Systems at the University of Piraeus and Director of the Computational Biomedicine Laboratory. His scientific interests include Biomedical Informatics, Telemedicine, Computer Vision and Pervasive Healthcare Systems. His published scientific work includes three (3) books (Springer, IOS press and Morgan Claypool ...

DBLP: Ilias Maglogiannis - VLDB

Ilias Maglogiannis, Elias P. Zafiropoulos, Ioannis Anagnostopoulos : An intelligent system for automated breast cancer diagnosis and prognosis using SVM based classifiers.

Ilias - FH Münster

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Maglogiannis Ilias

Dr. Ilias Maglogiannis is Professor at the Dept of Digital Systems in the University of Piraeus and Director of Computational Biomedicine Lab (www.cbml.ds.unipi.gr). He received a Diploma in Electrical & Computer Engineering and a Ph.D. in Biomedical Engineering from the National Technical University of Athens (NTUA) Greece. He was Faculty in the Dept of Information and Communication Systems ...

Ilias Maglogiannis – alle Bücher – jpc.de

Ihre Suche nach "ilias maglogiannis" ergab 4 Treffer Sortieren nach: Ansicht: Advanced Computational Intelligence in Healthcare-7. This book presents state-of-the-art works and systematic reviews in the emerging field of computational intelligence (CI) in electronic health care. The respective chapters present surveys and practical e… innerhalb 2-3 Wochen Buch EUR 142,37* Artikel merken In ...

Ilias Maglogiannis | Semantic Scholar

Semantic Scholar profile for Ilias Maglogiannis, with 165 highly influential citations and 308 scientific research papers.

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ILIAS Universität Tübingen - ILIAS-Anmeldeseite

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Ilias - eLearning an der Universitätsmedizin Göttingen

ILIAS: eLearning an der Universitätsmedizin Göttingen. Online-Schulungsangebote der Bildungsakademie. Flexible und individuelle Bildungsangebote an der UMG mit ILIAS. In den Fachweiterbildungen ist ILIAS fester Bestandteil. Sie arbeiten und lernen sowohl selbstständig online als auch mit anderen Teilnehmenden in gemeinsamen Seminarveranstaltungen. Anmeldung mit den persönlichen UMG ...

ILIAS FH AACHEN - Magazin

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Ilias Maglogiannis | University of Piraeus - Academia.edu

Ilias Maglogiannis, University of Piraeus, Digital Systems (DS) Department, Faculty Member. Studies Medical Informatics, Multimedia, and Image Processing.

Statistics Weekly update for Maglogiannis, Ilias G.

Statistics of Sep 27, 2020 for Maglogiannis, Ilias G. The new weekly statistics update for the Researcher Profile: Maglogiannis, Ilias G. has been published! Week end at Oct 4, 2020

ILIAS Uni Freiburg - ILIAS - E-Learning-Plattform der ...

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ILIAS-Verein – ilias.de

Der ILIAS open source e-Learning e.V. ist die Heimat von ILIAS und das Herz der ILIAS-Community. Seine Mitglieder sichern die Nachhaltigkeit von ILIAS und haben Mitsprache bei der weiteren Entwicklung. Der gemeinnützige Verein verfolgt kein Gewinninteresse, sondern sorgt für die Unabhängigkeit und Transparenz der Software-Entwicklung – damit Sie auch in Zukunft ein modernes, flexibles und ...

Ilias G. Maglogiannis & Kostas Karpouzis Image and Signal ...

Ilias G. Maglogiannis & Kostas Karpouzis Image and Signal Processing for Networked eHealth Applications . Підтримка . Adobe DRM. E-health is closely related with networks and telecommunications when dealing with applications of collecting or transferring medical data from distant locations for performing remote medical collaborations and diagnosis. In this book we provide an overview ...

Ilias G. Maglogiannis & Kostas Karpouzis Image and Signal ...

Ilias G. Maglogiannis & Kostas Karpouzis Image and Signal Processing for Networked eHealth Applications . Destek. Adobe DRM. E-health is closely related with networks and telecommunications when dealing with applications of collecting or transferring medical data from distant locations for performing remote medical collaborations and diagnosis. In this book we provide an overview of the fields ...

Ilias Maglogiannis

GCAI 2015 / Global Conference on Artificial Intelligence. Ilias Maglogiannis. Organization: University of Piraeus: Web page: http://www.ds.unipi.gr/en/iliasmaglo/

Über ILIAS – ilias.de

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ILIAS Marburg - ILIAS-Anmeldeseite

Dafür wird im Hintergrund Opencast genutzt, ein neuer, dezidierter Streamingserver, der in ILIAS integriert wurde. Die Kombination dieser beiden Dienste vereinfacht die Nutzung von Videos in der digitalen Hochschullehre und ermöglicht neue Einsatzszenarien. So kann bspw. entschieden werden, ob ein Video nur gestreamt, also ausschließlich im Browser betrachtet werden kann, oder ob auch ein ...

(PDF) The IEEE 802.11 g standard for high data rate WLANs ...

The IEEE 802.11 g standard for high data rate WLANs

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Kostadinov Todor Pavlov Bistatic SAR / ISAR / FSR. Theory Algorithms and Program Implementation


Bistatic radar consists of a radar system which comprises a transmitter and receiver which are separated by a distance comparable to the expected target distance. This book provides a general theoretical description of such bistatic technology in the context of synthetic aperture, inverse synthetic aperture and forward scattering radars from the point of view of analytical geometrical and signal formation as well as processing theory. Signal formation and image reconstruction algorithms are developed with the application of high informative linear frequency and phase code modulating techniques, and numerical experiments that confirm theoretical models are carried out. The authors suggest the program implementation of developed algorithms. A theoretical summary of the latest results in the field of bistatic radars is provided, before applying an analytical geometrical description of scenarios of bistatic synthetic aperture, inverse synthetic aperture and forward scattering radars with cooperative and non-cooperative transmitters. Signal models with linear frequency and phase code modulation are developed, and special phase modulations with C/A (coarse acquisition) and P (precision) of GPS satellite transmitters are considered. The authors suggest Matlab implementations of all geometrical models and signal formation and processing algorithms. Contents 1. Bistatic Synthetic Aperture Radar (BSAR) Survey. 2. BSAR Geometry. 3. BSAR Waveforms and Signal Models. 4. BSAR Image Reconstruction Algorithms. 5. Analytical Geometrical Determination of BSAR Resolution. 6. BSAR Experimental Results. 7. BSAR Matlab Implementation. A general theoretical description of bistatic technology within the scope of synthetic aperture, inverse synthetic aperture and forward scattering radars from the point of view of analytical geometrical and signal formation and processing theory. Signal formation and image reconstruction algorithms are developed in this title, with application of high informative linear frequency and phase code modulating techniques. Numerical experiments that confirm theoretical models are carried out and the authors suggest program implementation for the algorithms developed.

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Theo Gevers Color in Computer Vision


While the field of computer vision drives many of today’s digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color in computer vision, this book provides a complete set of tools for working with color in the field of image understanding. Based on the authors’ intense collaboration for more than a decade and drawing on the latest thinking in the field of computer science, the book integrates topics from color science and computer vision, clearly linking theories, techniques, machine learning, and applications. The fundamental basics, sample applications, and downloadable versions of the software and data sets are also included. Clear, thorough, and practical, Color in Computer Vision explains: Computer vision, including color-driven algorithms and quantitative results of various state-of-the-art methods Color science topics such as color systems, color reflection mechanisms, color invariance, and color constancy Digital image processing, including edge detection, feature extraction, image segmentation, and image transformations Signal processing techniques for the development of both image processing and machine learning Robotics and artificial intelligence, including such topics as supervised learning and classifiers for object and scene categorization Researchers and professionals in computer science, computer vision, color science, electrical engineering, and signal processing will learn how to implement color in computer vision applications and gain insight into future developments in this dynamic and expanding field.

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Mohamed Najim Digital Filters Design for Signal and Image Processing


Dealing with digital filtering methods for 1-D and 2-D signals, this book provides the theoretical background in signal processing, covering topics such as the z-transform, Shannon sampling theorem and fast Fourier transform. An entire chapter is devoted to the design of time-continuous filters which provides a useful preliminary step for analog-to-digital filter conversion. Attention is also given to the main methods of designing finite impulse response (FIR) and infinite impulse response (IIR) filters. Bi-dimensional digital filtering (image filtering) is investigated and a study on stability analysis, a very useful tool when implementing IIR filters, is also carried out. As such, it will provide a practical and useful guide to those engaged in signal processing.

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Homer Ilias & Odyssee

Tinku Acharya Image Processing


Image processing-from basics to advanced applications Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and innovations in the field, including: * Image transformation techniques, including wavelet transformation and developments * Image enhancement and restoration, including noise modeling and filtering * Segmentation schemes, and classification and recognition of objects * Texture and shape analysis techniques * Fuzzy set theoretical approaches in image processing, neural networks, etc. * Content-based image retrieval and image mining * Biomedical image analysis and interpretation, including biometric algorithms such as face recognition and signature verification * Remotely sensed images and their applications * Principles and applications of dynamic scene analysis and moving object detection and tracking * Fundamentals of image compression, including the JPEG standard and the new JPEG2000 standard Additional features include problems and solutions with each chapter to help you apply the theory and techniques, as well as bibliographies for researching specialized topics. With its extensive use of examples and illustrative figures, this is a superior title for students and practitioners in computer science, wireless and multimedia communications, and engineering.

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Группа авторов Remote Sensing Imagery


Dedicated to remote sensing images, from their acquisition to their use in various applications, this book covers the global lifecycle of images, including sensors and acquisition systems, applications such as movement monitoring or data assimilation, and image and data processing. It is organized in three main parts. The first part presents technological information about remote sensing (choice of satellite orbit and sensors) and elements of physics related to sensing (optics and microwave propagation). The second part presents image processing algorithms and their specificities for radar or optical, multi and hyper-spectral images. The final part is devoted to applications: change detection and analysis of time series, elevation measurement, displacement measurement and data assimilation. Offering a comprehensive survey of the domain of remote sensing imagery with a multi-disciplinary approach, this book is suitable for graduate students and engineers, with backgrounds either in computer science and applied math (signal and image processing) or geo-physics. About the Authors Florence Tupin is Professor at Telecom ParisTech, France. Her research interests include remote sensing imagery, image analysis and interpretation, three-dimensional reconstruction, and synthetic aperture radar, especially for urban remote sensing applications. Jordi Inglada works at the Centre National d’Études Spatiales (French Space Agency), Toulouse, France, in the field of remote sensing image processing at the CESBIO laboratory. He is in charge of the development of image processing algorithms for the operational exploitation of Earth observation images, mainly in the field of multi-temporal image analysis for land use and cover change. Jean-Marie Nicolas is Professor at Telecom ParisTech in the Signal and Imaging department. His research interests include the modeling and processing of synthetic aperture radar images.

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Frank Shih Y. Image Processing and Pattern Recognition. Fundamentals and Techniques


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.

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Frank Shih Y. Image Processing and Pattern Recognition. Fundamentals and Techniques


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.

15256.57 RUR

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