Image Processing And Pattern Recognition

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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.

Advance Concepts of Image Processing and Pattern Recognition

Author : Narendra Kumar
Publisher : Springer Nature
ISBN 13 : 9811693242
Total Pages : 233 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Advance Concepts of Image Processing and Pattern Recognition by : Narendra Kumar

Download or read book Advance Concepts of Image Processing and Pattern Recognition written by Narendra Kumar and published by Springer Nature. This book was released on 2022-02-21 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book explains the important concepts and principles of image processing to implement the algorithms and techniques to discover new problems and applications. It contains numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. It presents essential background theory, shape methods, texture about new methods, and techniques for image processing and pattern recognition. It maintains a good balance between a mathematical background and practical implementation. This book also contains the comparison table and images that are used to show the results of enhanced techniques. This book consists of novel concepts and hybrid methods for providing effective solutions for society. It also includes a detailed explanation of algorithms in various programming languages like MATLAB, Python, etc. The security features of image processing like image watermarking and image encryption etc. are also discussed in this book. This book will be useful for those who are working in the field of image processing, pattern recognition, and security for digital images. This book targets researchers, academicians, industry, and professionals from R&D organizations, and students, healthcare professionals working in the field of medical imaging, telemedicine, cybersecurity, data scientist, artificial intelligence, image processing, digital hospital, intelligent medicine.

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.

Pattern Recognition and Image Analysis

Author : Earl Gose
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 504 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Pattern Recognition and Image Analysis by : Earl Gose

Download or read book Pattern Recognition and Image Analysis written by Earl Gose and published by Prentice Hall. This book was released on 1996 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past 20 to 25 years, pattern recognition has become an important part of image processing applications where the input data is an image. This book is a complete introduction to pattern recognition and its increasing role in image processing. It covers the traditional issues of pattern recognition and also introduces two of the fastest growing areas: Image Processing and Artificial Neural Networks. Examples and digital images illustrate the techniques, while an appendix describes pattern recognition using the SAS statistical software system.

Recent Trends in Image Processing and Pattern Recognition

Author : K. C. Santosh
Publisher : Springer
ISBN 13 : 9811391815
Total Pages : 717 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Recent Trends in Image Processing and Pattern Recognition by : K. C. Santosh

Download or read book Recent Trends in Image Processing and Pattern Recognition written by K. C. Santosh and published by Springer. This book was released on 2019-07-19 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set constitutes the refereed proceedings of the Second International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018. The 173 revised full papers presented were carefully reviewed and selected from 374 submissions. The papers are organized in topical sections in the tree volumes. Part I: computer vision and pattern recognition; machine learning and applications; and image processing. Part II: healthcare and medical imaging; biometrics and applications. Part III: document image analysis; image analysis in agriculture; and data mining, information retrieval and applications.

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.

Image Pattern Recognition

Author : L Koteswara Rao
Publisher : CRC Press
ISBN 13 : 1000460975
Total Pages : 219 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Image Pattern Recognition by : L Koteswara Rao

Download or read book Image Pattern Recognition written by L Koteswara Rao and published by CRC Press. This book was released on 2022-02-06 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes various types of image patterns for image retrieval. All these patterns are texture dependent. Few image patterns such as Improved directional local extrema patterns, Local Quantized Extrema Patterns, Local Color Oppugnant Quantized Extrema Patterns and Local Mesh quantized extrema patterns are presented. Inter-relationships among the pixels of an image are used for feature extraction. In contrast to the existing patterns these patterns focus on local neighborhood of pixels to creates the feature vector. Evaluation metrics such as precision and recall are calculated after testing with standard databases i.e., Corel-1k, Corel-5k and MIT VisTex database. This book serves as a practical guide for students and researchers. -The text introduces two models of Directional local extrema patterns viz., Integration of color and directional local extrema patterns Integration of Gabor features and directional local extrema patterns. -Provides a framework to extract the features using quantization method -Discusses the local quantized extrema collected from two oppugnant color planes -Illustrates the mesh structure with the pixels at alternate positions.

Image Processing, Computer Vision, and Pattern Recognition

Author : Hamid R. Arabnia
Publisher : 2019 Worldcomp Internation
ISBN 13 : 9781601325068
Total Pages : 0 pages
Book Rating : 4.3/5 (25 download)

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Book Synopsis Image Processing, Computer Vision, and Pattern Recognition by : Hamid R. Arabnia

Download or read book Image Processing, Computer Vision, and Pattern Recognition written by Hamid R. Arabnia and published by 2019 Worldcomp Internation. This book was released on 2020-03-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the 2019 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'19) held July 29th - August 1st, 2019 in Las Vegas, Nevada.

Digital Image Processing and Pattern Recognition

Author : Pakhira Malay K.
Publisher : PHI Learning Pvt. Ltd.
ISBN 13 : 8120340914
Total Pages : 523 pages
Book Rating : 4.1/5 (23 download)

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Book Synopsis Digital Image Processing and Pattern Recognition by : Pakhira Malay K.

Download or read book Digital Image Processing and Pattern Recognition written by Pakhira Malay K. and published by PHI Learning Pvt. Ltd.. This book was released on 2011-02 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is designed for undergraduate and postgraduate students of Computer Science and Engineering, Information Technology, Electronics and Communication Engineering, and Electrical Engineering. The book comprehensively covers all the important topics in digital image processing and pattern recognition along with the fundamental concepts, mathematical preliminaries and theoretical derivations of significant theorems. The image processing topics include coverage of image formation, digitization, lower level processing, image analysis, image compression, and so on. The topics on pattern recognition include statistical decision making, decision tree learning, artificial neural networks, clustering and others. An application of simulated annealing for edge detection is described in an appendix. The book is profusely illustrated with more than 200 figures and sketches as an added feature. KEY FEATURES: Provides a large number of worked examples to strengthen the grasp of the concepts. Lays considerable emphasis on the algorithms in order to teach students how to write good practical programs for problem solving. Devotes a separate chapter to currently used image format standards. Offers problems at the end of each chapter to help students test their understanding of the fundamentals of the subject.

Pattern Recognition and Image Processing

Author : D Luo
Publisher : Elsevier
ISBN 13 : 0857099760
Total Pages : 256 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 256 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

Practical Machine Learning and Image Processing

Author : Himanshu Singh
Publisher : Apress
ISBN 13 : 1484241495
Total Pages : 177 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Practical Machine Learning and Image Processing by : Himanshu Singh

Download or read book Practical Machine Learning and Image Processing written by Himanshu Singh and published by Apress. This book was released on 2019-02-26 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing. The next section looks at advanced machine learning and deep learning methods for image processing and classification. You’ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you’ll explore how models are made in real time and then deployed using various DevOps tools. All the concepts in Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application. What You Will LearnDiscover image-processing algorithms and their applications using Python Explore image processing using the OpenCV library Use TensorFlow, scikit-learn, NumPy, and other libraries Work with machine learning and deep learning algorithms for image processing Apply image-processing techniques to five real-time projects Who This Book Is For Data scientists and software developers interested in image processing and computer vision.

Computer Vision

Author : Tzay Y. Young
Publisher :
ISBN 13 : 9780127745619
Total Pages : 0 pages
Book Rating : 4.7/5 (456 download)

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Book Synopsis Computer Vision by : Tzay Y. Young

Download or read book Computer Vision written by Tzay Y. Young and published by . This book was released on 1994 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Progress in Image Processing, Pattern Recognition and Communication Systems

Author : Michal Choraś
Publisher : Springer
ISBN 13 : 9783030815226
Total Pages : 352 pages
Book Rating : 4.8/5 (152 download)

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Book Synopsis Progress in Image Processing, Pattern Recognition and Communication Systems by : Michal Choraś

Download or read book Progress in Image Processing, Pattern Recognition and Communication Systems written by Michal Choraś and published by Springer. This book was released on 2021-08-18 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of high-quality research papers accepted to multi-conference consisting of International Conference on Image Processing and Communications (IP&C 2021), International Conference on Computer Recognition Systems (CORES 2021), International Conference on Advanced Computer Systems (ACS 2021) held jointly in Bydgoszcz, Poland (virtually), in June 2021. The accepted papers address current computer science and computer systems-related technological challenges and solutions, as well as many practical applications and results. The first part of the book deals with advances in pattern recognition and classifiers, the second part is devoted to image processing and computer vision, while the third part addresses practical applications of computer recognition systems. Machine learning solutions for security and networks are tackled in part four of the book, while the last part collects papers on progress in advanced computer systems. We believe this book will be interesting for researchers and practitioners in many fields of computer science and IT applications.

Handbook Of Pattern Recognition And Computer Vision (2nd Edition)

Author : Chi Hau Chen
Publisher : World Scientific
ISBN 13 : 9814497649
Total Pages : 1045 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Handbook Of Pattern Recognition And Computer Vision (2nd Edition) by : Chi Hau Chen

Download or read book Handbook Of Pattern Recognition And Computer Vision (2nd Edition) written by Chi Hau Chen and published by World Scientific. This book was released on 1999-03-12 with total page 1045 pages. Available in PDF, EPUB and Kindle. Book excerpt: The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.

Pattern Recognition and Image Preprocessing

Author : Sing T. Bow
Publisher : CRC Press
ISBN 13 : 9780203903896
Total Pages : 736 pages
Book Rating : 4.9/5 (38 download)

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Book Synopsis Pattern Recognition and Image Preprocessing by : Sing T. Bow

Download or read book Pattern Recognition and Image Preprocessing written by Sing T. Bow and published by CRC Press. This book was released on 2002-01-11 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describing non-parametric and parametric theoretic classification and the training of discriminant functions, this second edition includes new and expanded sections on neural networks, Fisher's discriminant, wavelet transform, and the method of principal components. It contains discussions on dimensionality reduction and feature selection; novel computer system architectures; proven algorithms for solutions to common roadblocks in data processing; computing models including the Hamming net, the Kohonen self-organizing map, and the Hopfield net; detailed appendices with data sets illustrating key concepts in the text; and more.

Pattern Recognition and Signal Analysis in Medical Imaging

Author : Anke Meyer-Baese
Publisher : Elsevier
ISBN 13 : 0124166156
Total Pages : 466 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Pattern Recognition and Signal Analysis in Medical Imaging by : Anke Meyer-Baese

Download or read book Pattern Recognition and Signal Analysis in Medical Imaging written by Anke Meyer-Baese and published by Elsevier. This book was released on 2014-03-21 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data. Since the first edition, there has been tremendous development of new, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques in cancer detection as well as elsewhere in medicine. This book is an essential tool for students and professionals, compiling and explaining proven and cutting-edge methods in pattern recognition for medical imaging. New edition has been expanded to cover signal analysis, which was only superficially covered in the first edition New chapters cover Cluster Validity Techniques, Computer-Aided Diagnosis Systems in Breast MRI, Spatio-Temporal Models in Functional, Contrast-Enhanced and Perfusion Cardiovascular MRI Gives readers an unparalleled insight into the latest pattern recognition and signal analysis technologies, modeling, and applications

Pattern Recognition and Information Processing

Author : Sergey V. Ablameyko
Publisher : Springer Nature
ISBN 13 : 303035430X
Total Pages : 320 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Pattern Recognition and Information Processing by : Sergey V. Ablameyko

Download or read book Pattern Recognition and Information Processing written by Sergey V. Ablameyko and published by Springer Nature. This book was released on 2019-11-22 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Pattern Recognition and Information Processing, PRIP 2019, held in Minsk, Belarus, in May 2019. The 25 revised full papers were carefully reviewed and selected from 120 submissions. The papers of this volume are organized in topical sections on pattern recognition and image analysis; information processing and applications.