Nonlinear Filters For Image Processing
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Nonlinear Filters For Image Processing
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Author : Edward R. Dougherty
language : en
Publisher: SPIE Press
Release Date : 1999
Nonlinear Filters For Image Processing written by Edward R. Dougherty and has been published by SPIE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.
This text covers key mathematical principles and algorithms for nonlinear filters used in image processing. Readers will gain an in-depth understanding of the underlying mathematical and filter design methodologies needed to construct and use nonlinear filters in a variety of applications. The 11 chapters explore topics of contemporary interest as well as fundamentals drawn from nonlinear filtering's historical roots in mathematical morphology and digital signal processing. This book examines various filter options and the types of applications for which they are best suited. The presentation is rigorous, yet accessible to engineers with a solid background in mathematics.
An Introduction To Nonlinear Image Processing
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Author : Edward R. Dougherty
language : en
Publisher: SPIE Press
Release Date : 1994
An Introduction To Nonlinear Image Processing written by Edward R. Dougherty and has been published by SPIE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Technology & Engineering categories.
From a strict semantic point of view, nonlinear image processing encompasses all image processing that is not based on linear operators; however, from a practical, evolutionary point of view, the name itself is usually associated with the study of nonlinear filters, mainly the deterministic and nondeterministic analysis and design of logic-based operators. This Tutorial Text volume explores logic-based operators with emphasis on representation, design, and statistical optimization of nonlinear filters.
Nonlinear Image Processing
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Author : Giovanni Sicuranza
language : en
Publisher: Academic Press
Release Date : 2001
Nonlinear Image Processing written by Giovanni Sicuranza and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
This state-of-the-art book deals with the most important aspects of non-linear imaging challenges. The need for engineering and mathematical methods is essential for defining non-linear effects involved in such areas as computer vision, optical imaging, computer pattern recognition, and industrial automation challenges.
Nonlinear Image Processing
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Author :
language : en
Publisher:
Release Date : 1998
Nonlinear Image Processing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Digital filters (Mathematics) categories.
Color Image Processing And Applications
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Author : Konstantinos Plataniotis
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-05-26
Color Image Processing And Applications written by Konstantinos Plataniotis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-05-26 with Computers categories.
Reporting the state of the art of colour image processing, this monograph fills a gap in the literature on digital signal and image processing. It contains numerous examples and pictures of colour image processing results, plus a library of algorithms implemented in C.
Ai Deep Learning In Image Processing
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Author : Frank Y. Shih
language : en
Publisher: CRC Press
Release Date : 2025-10-14
Ai Deep Learning In Image Processing written by Frank Y. Shih and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-14 with Technology & Engineering categories.
Image processing plays a crucial role in various fields, including digital multimedia, automated vision detection and inspection, and pattern recognition. AI Deep Learning in Image Processing aims to provide a comprehensive overview of the mechanisms and techniques involved, with a particular focus on the application of advanced AI deep-learning technologies in image processing. The field of image processing has experienced unprecedented growth in recent years. Image processing presents the latest state-of-the-art developments alongside clear explanations of fundamental concepts and contemporary applications. By emphasizing essential principles, this book enables readers to not only implement algorithms and techniques with ease but also identify new challenges and explore innovative applications in the field. New and advanced AI deep-learning techniques for image processing as comparing against traditional image-processing methods Numerous practical examples and AI image-processing-related applications A more intuitive development and clear explanation to the complex technology Updated image-processing technology in medical, chemical, and ecological fields Extensive discussions of performance comparisons of various AI deep-learning image-processing methods This book is designed for students, researchers, and professionals seeking to enhance their knowledge, gain practical insights, and explore the evolving role of image processing in modern technology.
Image Processing And Pattern Recognition
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Author : Frank Y. Shih
language : en
Publisher: John Wiley & Sons
Release Date : 2010-07-16
Image Processing And Pattern Recognition written by Frank Y. Shih and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-16 with Technology & Engineering categories.
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.
Digital Image Processing And Analysis
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Author : Scott E Umbaugh
language : en
Publisher: CRC Press
Release Date : 2022-12-30
Digital Image Processing And Analysis written by Scott E Umbaugh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-30 with Technology & Engineering categories.
Digital Image Enhancement, Restoration and Compression focuses on human vision-based imaging application development. Examples include making poor images look better, the development of advanced compression algorithms, special effects imaging for motion pictures and the restoration of satellite images distorted by atmospheric disturbance. This book presents a unique engineering approach to the practice of digital imaging, which starts by presenting a global model to help gain an understanding of the overall process, followed by a breakdown and explanation of each individual topic. Topics are presented as they become necessary for understanding the practical imaging model under study, which provides the reader with the motivation to learn about and use the tools and methods being explored. The book includes chapters on imaging systems and software, the human visual system, image transforms, image filtering, image enhancement, image restoration, and image compression. Numerous examples, including over 700 color images, are used to illustrate the concepts discussed. Readers can explore their own application development with any programming language, including C/C++, MATLAB®, Python and R, and software is provided for both the Windows/C/C++ and MATLAB environments. The book can be used by the academic community in teaching and research, with over 1,000 PowerPoint slides and a complete solutions manual to the over 230 included problems. It can also be used for self-study by those involved with application development, whether they are engineers, scientists or artists. The new edition has been extensively updated and includes numerous problems and programming exercises that will help the reader and student develop their skills.
Parallel And Distributed Signal And Image Integration Problems Proceedings Of The Indo Us Workshop
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Author : Rabinder N Madan
language : en
Publisher: World Scientific
Release Date : 1995-06-09
Parallel And Distributed Signal And Image Integration Problems Proceedings Of The Indo Us Workshop written by Rabinder N Madan and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-06-09 with categories.
Though there are several books on the Singapore economy, none have focused on the time series-based investigations. This book tries to address that gap and attempts to add to what we know from studies in the descriptive tradition. It is a compendium of twenty of the author's academic studies on the Singapore economy which have appeared previously as journal papers, book chapters, and feature articles. The papers share a common methodology of social scientific enquiry viz., time series econometrics, and are divided into three parts: macroeconomy, business cycles and forecasting. Each part brings together empirical essays that deal with particular aspects of these related fields. The book will be of interest to economists, policy-makers and students seeking a quantitatively informed understanding of the Singapore economy.
Advances In Computational Techniques For Biomedical Image Analysis
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Author : Deepika Koundal
language : en
Publisher: Academic Press
Release Date : 2020-05-28
Advances In Computational Techniques For Biomedical Image Analysis written by Deepika Koundal and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-28 with Computers categories.
Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis. It discusses the archiving and transfer of images, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing. It examines various feature detection and segmentation techniques, together with methods for computing a registration or normalization transformation. Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications is ideal for researchers and post graduate students developing systems and tools for health-care systems. - Covers various challenges and common research issues related to biomedical image analysis - Describes advanced computational approaches for biomedical image analysis - Shows how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. - Explores a range of computational algorithms and techniques, such as neural networks, fuzzy sets, and evolutionary optimization - Explores cloud based medical imaging together with medical imaging security and forensics