Pattern Recognition And Image Processing In Physics

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Pattern Recognition and Image Processing in Physics,

Author : Robin Antony Vaughan
Publisher : CRC Press
ISBN 13 :
Total Pages : 384 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Pattern Recognition and Image Processing in Physics, by : Robin Antony Vaughan

Download or read book Pattern Recognition and Image Processing in Physics, written by Robin Antony Vaughan and published by CRC Press. This book was released on 1991 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Scottish Universities Summer School in Physics has been held every year since 1960. The purpose of the school is to contribute to the dissemination of advanced knowledge and the formation of contacts among scientists from different countries. The lecturers at the school are all international experts in their subject. Their brief is to present an up-to-date survey of current research in their own field in the form of a coherent series of lectures at a level suitable for students who are normally in their second or third postgraduate year. With more and more sophisticated computers and computer software proving itself invaluable with its advanced pattern recognition capabilities in such areas as defence and environmental and industrial control, this edited volume discusses various systems that have emerged in recent years and their potential and actual applications. Necessary computer architecture and software tools are explained. Image processing and analysis are discussed, paying particular attention to shape and motion analysis and image enhancement. Neural networks play a vital role and are discussed in some detail. Specific applications of this technology are concentrated on in the final section of this work, notably earth observations and geological study.

Image Processing and Pattern Recognition

Author : Frank Y. Shih
Publisher : John Wiley & Sons
ISBN 13 : 0470404612
Total Pages : 564 pages
Book Rating : 4.4/5 (74 download)

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Book Synopsis Image Processing and Pattern Recognition by : Frank Y. Shih

Download or read book Image Processing and Pattern Recognition written by Frank Y. Shih and published by John Wiley & Sons. This book was released on 2010-05-03 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Guide to Signals and Patterns in Image Processing

Author : Apurba Das
Publisher :
ISBN 13 : 9783319141732
Total Pages : pages
Book Rating : 4.1/5 (417 download)

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Book Synopsis Guide to Signals and Patterns in Image Processing by : Apurba Das

Download or read book Guide to Signals and Patterns in Image Processing written by Apurba Das and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique text/reference reviews the field of digital image processing from the different perspectives offered by the separate domains of signal processing and pattern recognition. The book describes a rich array of applications, representing the latest trends in industry and academic research. To inspire further interest in the field, a selection of elegant, worked-out numerical problems are also included in the text. The content is presented in an accessible manner, examining each topic in depth without assuming any prior knowledge from the reader, and providing additional background material in the appendices. Topics and features: Introduces the processes of sampling, quantization and encoding of images, as well as the operations of convolution and correlation, and the basic geometric transformations Covers image enhancement techniques in the spatial domain, the frequency domain, and the wavelet domain Describes the basics of the physics of light and color, and of the psycho-visual color system Reviews compression methods and formats for encoding images Discusses morphology-based image processing, which bridges signal processing and pattern recognition perspectives Examines state-of-the-art applications of techniques for feature extraction, selection, and reduction Investigates the modeling of object recognition in the human visual system for computer vision Provides electronic supplementary material, including MATLAB and C++ code, interactive GUI-based modules, and teaching slides at an associated website Appealing to a broad audience of students, tutors, researchers and professionals, this work offers an indispensable guide to image processing, pattern recognition and computer vision. The coverage draws upon the author's extensive experience in academic teaching and training, government R&D, and private industry.

Pattern Recognition and Image Processing in Physics

Author : Robin Antony Vaughan
Publisher :
ISBN 13 :
Total Pages : 366 pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis Pattern Recognition and Image Processing in Physics by : Robin Antony Vaughan

Download or read book Pattern Recognition and Image Processing in Physics written by Robin Antony Vaughan and published by . This book was released on 1991 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Pattern Recognition and Image Processing

Author : D Luo
Publisher : Elsevier
ISBN 13 : 0857099760
Total Pages : 261 pages
Book Rating : 4.8/5 (57 download)

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Book Synopsis Pattern Recognition and Image Processing by : D Luo

Download or read book Pattern Recognition and Image Processing written by D Luo and published by Elsevier. This book was released on 1998-09-01 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delivers a course module for advanced undergraduates, postgraduates and researchers of electronics, computing science, medical imaging, or wherever the study of identification and classification of objects by electronics-driven image processing and pattern recognition is relevant. Object analysis first uses image processing to detect objects and extract their features, then identifies and classifies them by pattern recognition. Its manifold applications include recognition of objects in satellite images which enable discrimination between different objects, such as fishing boats, merchant ships or warships; machine spare parts e.g. screws, nuts etc. (engineering); detection of cancers, ulcers, tumours and so on (medicine); and recognition of soil particles of different types (agriculture or soil mechanics in civil engineering). - Outlines the identification and classification of objects by electronics-driven image processing and pattern recognition - Discusses object detection, shape, roundness and sharpness analysis, orientation analysis and arrangement analysis - Delivers a course module for advanced undergraduates, postgraduates and researchers of electronics, computing science and medical imaging

Handbook of Pattern Recognition and Computer Vision

Author : C. H. Chen
Publisher : World Scientific
ISBN 13 : 9789810222765
Total Pages : 1000 pages
Book Rating : 4.2/5 (227 download)

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Book Synopsis Handbook of Pattern Recognition and Computer Vision by : C. H. Chen

Download or read book Handbook of Pattern Recognition and Computer Vision written by C. H. Chen and published by World Scientific. This book was released on 1993-08 with total page 1000 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The book provides an up-to-date and authoritative treatment of pattern recognition and computer vision, with chapters written by leaders in the field. On the basic methods in pattern recognition and computer vision, topics range from statistical pattern recognition to array grammars to projective geometry to skeletonization, and shape and texture measures."--BOOK JACKET.

Pattern Recognition and Classification

Author : Geoff Dougherty
Publisher : Springer Science & Business Media
ISBN 13 : 1461453232
Total Pages : 203 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Pattern Recognition and Classification by : Geoff Dougherty

Download or read book Pattern Recognition and Classification written by Geoff Dougherty and published by Springer Science & Business Media. This book was released on 2012-10-28 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, despite the existence of a number of notable books in the field, the subject remains very challenging, especially for the beginner. Pattern Recognition and Classification presents a comprehensive introduction to the core concepts involved in automated pattern recognition. It is designed to be accessible to newcomers from varied backgrounds, but it will also be useful to researchers and professionals in image and signal processing and analysis, and in computer vision. Fundamental concepts of supervised and unsupervised classification are presented in an informal, rather than axiomatic, treatment so that the reader can quickly acquire the necessary background for applying the concepts to real problems. More advanced topics, such as semi-supervised classification, combining clustering algorithms and relevance feedback are addressed in the later chapters. This book is suitable for undergraduates and graduates studying pattern recognition and machine learning.

Handbook of Pattern Recognition & Computer Vision

Author : Chi-hau Chen
Publisher : World Scientific
ISBN 13 : 9810230710
Total Pages : 1045 pages
Book Rating : 4.8/5 (12 download)

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Book Synopsis Handbook of Pattern Recognition & Computer Vision by : Chi-hau Chen

Download or read book Handbook of Pattern Recognition & Computer Vision written by Chi-hau Chen and published by World Scientific. This book was released on 1999 with total page 1045 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation. Presents the latest research findings in theory, techniques, algorithms, and major applications of pattern recognition and computer vision, as well as new hardware and architecture aspects. Contains sections on basic methods in pattern recognition and computer vision, nine recognition applications, inspection and robotic applications, and architectures and technology. Some areas discussed include cluster analysis, 3D vision of dynamic objects, speech recognition, computer vision in food handling, and video content analysis and retrieval. This second edition is extensively revised to describe progress in the field since 1993. Chen is affiliated with the electrical and computer engineering department at the University of Massachusetts-Dartmouth. Annotation copyrighted by Book News, Inc., Portland, OR.

Pattern Recognition

Author : Sergios Theodoridis
Publisher : Elsevier
ISBN 13 : 0080513611
Total Pages : 854 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Pattern Recognition by : Sergios Theodoridis

Download or read book Pattern Recognition written by Sergios Theodoridis and published by Elsevier. This book was released on 2006-04-07 with total page 854 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition is a fast growing area with applications in a widely diverse number of fields such as communications engineering, bioinformatics, data mining, content-based database retrieval, to name but a few. This new edition addresses and keeps pace with the most recent advancements in these and related areas. This new edition: a) covers Data Mining, which was not treated in the previous edition, and is integrated with existing material in the book, b) includes new results on Learning Theory and Support Vector Machines, that are at the forefront of today's research, with a lot of interest both in academia and in applications-oriented communities, c) for the first time treats audio along with image applications since in today's world the most advanced applications are treated in a unified way and d) the subject of classifier combinations is treated, since this is a hot topic currently of interest in the pattern recognition community. - The latest results on support vector machines including v-SVM's and their geometric interpretation - Classifier combinations including the Boosting approach - State-of-the-art material for clustering algorithms tailored for large data sets and/or high dimensional data, as required by applications such as web-mining and bioinformatics - Coverage of diverse applications such as image analysis, optical character recognition, channel equalization, speech recognition and audio classification

Image Processing and Pattern Recognition Based on Parallel Shift Technology

Author : Stepan Bilan
Publisher : CRC Press
ISBN 13 : 1351778579
Total Pages : 194 pages
Book Rating : 4.3/5 (517 download)

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Book Synopsis Image Processing and Pattern Recognition Based on Parallel Shift Technology by : Stepan Bilan

Download or read book Image Processing and Pattern Recognition Based on Parallel Shift Technology written by Stepan Bilan and published by CRC Press. This book was released on 2018-01-29 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the methods and algorithms for image pre-processing and recognition. These methods are based on a parallel shift technology of the imaging copy, as well as simple mathematical operations to allow the generation of a minimum set of features to describe and recognize the image. This book also describes the theoretical foundations of parallel shift technology and pattern recognition. Based on these methods and theories, this book is intended to help researchers with artificial intelligence systems design, robotics, and developing software and hardware applications.

Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors

Author : Rudolf Frühwirth
Publisher : Springer Nature
ISBN 13 : 303065771X
Total Pages : 208 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors by : Rudolf Frühwirth

Download or read book Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors written by Rudolf Frühwirth and published by Springer Nature. This book was released on 2021 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is a comprehensive review of the methods and algorithms that are used in the reconstruction of events recorded by past, running and planned experiments at particle accelerators such as the LHC, SuperKEKB and FAIR. The main topics are pattern recognition for track and vertex finding, solving the equations of motion by analytical or numerical methods, treatment of material effects such as multiple Coulomb scattering and energy loss, and the estimation of track and vertex parameters by statistical algorithms. The material covers both established methods and recent developments in these fields and illustrates them by outlining exemplary solutions developed by selected experiments. The clear presentation enables readers to easily implement the material in a high-level programming language. It also highlights software solutions that are in the public domain whenever possible. It is a valuable resource for PhD students and researchers working on online or offline reconstruction for their experiments.

Digital Pattern Recognition

Author : K. S. Fu
Publisher : Springer Science & Business Media
ISBN 13 : 3642677401
Total Pages : 248 pages
Book Rating : 4.6/5 (426 download)

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Book Synopsis Digital Pattern Recognition by : K. S. Fu

Download or read book Digital Pattern Recognition written by K. S. Fu and published by Springer Science & Business Media. This book was released on 2013-03-07 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since its publication in 1976, the original volume has been warmly received. We have decided to put out this updated paperback edition so that the book can be more accessible to students. This paperback edition is essentially the same as the original hardcover volume except for the addition of a new chapter (Chapter 7) which reviews the recent advances in pattern recognition and image processing. Because of the limitations of length, we can only report the highlights and point the readers to the literature. A few typographical errors in the original edition were corrected. We are grateful to the National Science Foundation and the Office of Naval Research for supporting the editing of this book as well as the work described in Chapter 4 and a part of Chapter 7. West Lafayette, Indiana March 1980 K. S. Fu Preface to the First Edition During the past fifteen years there has been a considerable growth of interest in problems of pattern recognition. Contributions to the blossom of this area have come from many disciplines, including statistics, psychology, linguistics, computer science, biology, taxonomy, switching theory, communication theory, control theory, and operations research. Many different approaches have been proposed and a number of books have been published. Most books published so far deal with the decision-theoretic (or statistical) approach or the syntactic (or linguistic) is still far from its maturity, many approach.

Medical Image Processing

Author : Geoff Dougherty
Publisher : Springer Science & Business Media
ISBN 13 : 1441997792
Total Pages : 388 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Medical Image Processing by : Geoff Dougherty

Download or read book Medical Image Processing written by Geoff Dougherty and published by Springer Science & Business Media. This book was released on 2011-07-25 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is designed for end users in the field of digital imaging, who wish to update their skills and understanding with the latest techniques in image analysis. The book emphasizes the conceptual framework of image analysis and the effective use of image processing tools. It uses applications in a variety of fields to demonstrate and consolidate both specific and general concepts, and to build intuition, insight and understanding. Although the chapters are essentially self-contained they reference other chapters to form an integrated whole. Each chapter employs a pedagogical approach to ensure conceptual learning before introducing specific techniques and “tricks of the trade”. The book concentrates on a number of current research applications, and will present a detailed approach to each while emphasizing the applicability of techniques to other problems. The field of topics is wide, ranging from compressive (non-uniform) sampling in MRI, through automated retinal vessel analysis to 3-D ultrasound imaging and more. The book is amply illustrated with figures and applicable medical images. The reader will learn the techniques which experts in the field are currently employing and testing to solve particular research problems, and how they may be applied to other problems.

Machine Interpretation Of Patterns: Image Analysis And Data Mining

Author : Rajat K De
Publisher : World Scientific
ISBN 13 : 9814465445
Total Pages : 316 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Machine Interpretation Of Patterns: Image Analysis And Data Mining by : Rajat K De

Download or read book Machine Interpretation Of Patterns: Image Analysis And Data Mining written by Rajat K De and published by World Scientific. This book was released on 2010-06-26 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This review volume provides from both theoretical and application points of views, recent developments and state-of-the-art reviews in various areas of pattern recognition, image processing, machine learning, soft computing, data mining and web intelligence.Machine Interpretation of Patterns: Image Analysis and Data Mining is an essential and invaluable resource for professionals and advanced graduates in computer science, mathematics and life sciences. It can also be considered as an integrated volume to researchers interested in doing interdisciplinary research where computer science is a component.

Progress in Pattern Recognition, Image Analysis and Applications

Author : Manuel Lazo
Publisher : Springer
ISBN 13 : 3540322426
Total Pages : 1114 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis and Applications by : Manuel Lazo

Download or read book Progress in Pattern Recognition, Image Analysis and Applications written by Manuel Lazo and published by Springer. This book was released on 2005-10-24 with total page 1114 pages. Available in PDF, EPUB and Kindle. Book excerpt: CIARP 2005 (10th Iberoamerican Congress on Pattern Recognition, X CIARP) is the 10th event in the series of pioneer congresses on pattern recognition in the Iberoamerican community, which takes place in La Habana, Cuba. As in previous years, X CIARP brought together international scientists to promote and disseminate ongoing research and mathematical methods for pattern recognition, image analysis, and applications in such diverse areas as computer vision, robotics, industry, health, entertainment, space exploration, telecommunications, data mining, document analysis, and natural language processing and recognition, to name a few. Moreover, X CIARP was a forum for scientific research, experience exchange, share of new knowledge and increase in cooperation between research groups in pattern recognition, computer vision and related areas. The 10th Iberoamerican Congress on Pattern Recognition was organized by the Cuban Association for Pattern Recognition (ACRP) and sponsored by the Institute of Cybernetics, Mathematics and Physics (ICIMAF), the Advanced Technologies Application Center (CENATAV), the University of Oriente (UO), the Polytechnic Institute “José A Echevarria” (ISPJAE), the Central University of Las Villas (UCLV), the Ciego de Avila University (UNICA), as well as the Center of Technologies Research on Information and Systems (CITIS-UAEH) in Mexico. The conference was also co-sponsored by the Portuguese Association for Pattern Recognition (APRP), the Spanish Association for Pattern Recognition and Image Analysis (AERFAI), the Special Interest Group of the Brazilian Computer Society (SIGPR-SBC), and the Mexican Association for Computer Vision, Neurocomputing and Robotics (MACVNR). X CIARP was endorsed by the International Association for Pattern Recognition (IAPR).

Fuzzy Models and Algorithms for Pattern Recognition and Image Processing

Author : James C. Bezdek
Publisher : Springer Science & Business Media
ISBN 13 : 0387245790
Total Pages : 786 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Fuzzy Models and Algorithms for Pattern Recognition and Image Processing by : James C. Bezdek

Download or read book Fuzzy Models and Algorithms for Pattern Recognition and Image Processing written by James C. Bezdek and published by Springer Science & Business Media. This book was released on 2006-09-28 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.

Group Theoretical Methods in Image Processing

Author : Reiner Lenz
Publisher : Springer
ISBN 13 : 9783662189481
Total Pages : 142 pages
Book Rating : 4.1/5 (894 download)

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Book Synopsis Group Theoretical Methods in Image Processing by : Reiner Lenz

Download or read book Group Theoretical Methods in Image Processing written by Reiner Lenz and published by Springer. This book was released on 2014-03-12 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this volume the author gives an introduction to the theory of group representations and their applications in image science. The main feature of the presentation is a systematic treatment of the invariance principle in image processing and pattern recognition with the help of group theoretical methods. The invariance properties of a problem often largely define the solution to the problem. Invariance principles are well known in theoretical physics but their use in image processing is only a few years old. The reader will find that group theory provides a unifying framework for many problems in image science. The volume is based on graduate-level lectures given by the author, and the book is intended for students and researchers interested in theoretical aspects of computer vision.