A Course On Digital Image Processing With Matlab R
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A Course On Digital Image Processing With Matlab R
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Author : P. K. Thiruvikraman
language : en
Publisher: Institute of Physics Publishing
Release Date : 2019-11-20
A Course On Digital Image Processing With Matlab R written by P. K. Thiruvikraman and has been published by Institute of Physics Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-20 with Computers categories.
A Course on Digital Image Processing with MATLAB(R) describes the principles and techniques of image processing using MATLAB(R). Every chapter is accompanied by a collection of exercises and programming assignments, the book is augmented with supplementary MATLAB code, and hints and solutions to problems are also provided.
Course On Digital Image Processing Mat
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Author : THIRUVIKRAMAN
language : en
Publisher: Iop Expanding Physics
Release Date : 2019-11-20
Course On Digital Image Processing Mat written by THIRUVIKRAMAN and has been published by Iop Expanding Physics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-20 with Computers categories.
A Course on Digital Image Processing with MATLAB(R) describes the principles and techniques of image processing using MATLAB(R). Every chapter is accompanied by a collection of exercises and programming assignments, the book is augmented with supplementary MATLAB code, and hints and solutions to problems are also provided.
Course On Digital Image Processing With Matlab Second Edition
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Author : P K. THIRUVIKRAMAN
language : en
Publisher:
Release Date : 2024
Course On Digital Image Processing With Matlab Second Edition written by P K. THIRUVIKRAMAN and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
A Course On Digital Image Processing With Matlab
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Author : P. K. Thiruvikraman
language : en
Publisher:
Release Date : 2019
A Course On Digital Image Processing With Matlab written by P. K. Thiruvikraman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with COMPUTERS categories.
Concentrating on the principles and techniques of image processing, this book provides an in-depth presentation of key topics, including many techniques not included in introductory texts. Practical implementation of the various image processing algorithms is an important step in learning the subject, and computer packages such as MATLAB facilitate this without the need to learn more complex programming languages. Whilst two chapters are devoted to the MATLAB programming environment and the image processing toolbox, the use of image processing algorithms using MATLAB is emphasised throughout the book, and every chapter is accompanied by a collection of exercises and programming assignments. Including coverage of colour and video image processing as well as object recognition, the book is augmented with supplementary MATLAB code and hints and solutions to problems are also provided.
Digital Image Processing
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Author : Uvais Qidwai
language : en
Publisher: CRC Press
Release Date : 2009-10-15
Digital Image Processing written by Uvais Qidwai and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-15 with Computers categories.
Avoiding heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB, without bogging down students with syntactical and debugging issues.One chapter can typically be compl
Digital Image Processing
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Author : Rafael C. Gonzalez
language : en
Publisher:
Release Date : 2018
Digital Image Processing written by Rafael C. Gonzalez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Image processing categories.
Introduce your students to image processing with the industry's most prized text For 40 years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals. The 4th Edition, which celebrates the book's 40th anniversary, is based on an extensive survey of faculty, students, and independent readers in 150 institutions from 30 countries. Their feedback led to expanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maximally-stable extremal regions (MSERs), graph cuts, k-means clustering and superpixels, active contours (snakes and level sets), and exact histogram matching. Major improvements were made in reorganizing the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering. Major revisions and additions were made to examples and homework exercises throughout the book. For the first time, we added MATLAB projects at the end of every chapter, and compiled support packages for you and your teacher containing, solutions, image databases, and sample code. The support materials for this title can be found at www.ImageProcessingPlace.com
Advanced Digital Imaging Laboratory Using Matlab R
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Author : Leonid P. Jaroslavskij
language : en
Publisher: Institute of Physics Publishing
Release Date : 2016
Advanced Digital Imaging Laboratory Using Matlab R written by Leonid P. Jaroslavskij and has been published by Institute of Physics Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with COMPUTERS categories.
"The first edition of this text book focussed on providing practical hands-on experience in digital imaging techniques for graduate students and practitioners keeping to a minimum any detailed discussion on the underlying theory. In this new extended edition, the author builds on the strength of the original edition by expanding the coverage to include formulation of the major theoretical results that underlie the exercises as well as introducing numerous modern concepts and new techniques. Whether you are studying or already using digital imaging techniques, developing proficiency in the subject is not possible without mastering practical skills. Including more than 100 MATLAB{reg} exercises, this book delivers a complete applied course in digital imaging theory and practice."--Prové de l'editor.
Digital Image Processing Using Matlab
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Author : Rafael C. Gonzalez
language : en
Publisher:
Release Date : 2010
Digital Image Processing Using Matlab written by Rafael C. Gonzalez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Image processing categories.
Digital Image Processing
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Author : Rafael C. Gonzalez
language : en
Publisher:
Release Date : 2018
Digital Image Processing written by Rafael C. Gonzalez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Image processing categories.
Image Processing Recipes In Matlab R
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Author : Oge Marques
language : en
Publisher:
Release Date : 2024-05-16
Image Processing Recipes In Matlab R written by Oge Marques and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-16 with Computers categories.
Leveraging the latest developments in MATLAB and its image processing toolbox, this 'cookbook' is a collection of 30 practical recipes for image processing, ranging from foundational techniques to recently published algorithms. Presented in a clear and meaningful sequence, these recipes are prepared with the reader in mind, allowing one to focus on particular topics or read as a whole from cover to cover. Key Features: A practical, user-friendly guide that equips researchers and practitioners with the tools to implement efficient image processing workflows in MATLAB. Each recipe is presented through clear, step-by-step instructions and rich visual examples. Each recipe contains its own source code, explanations, and figures, making the book an excellent standalone resource for quick reference. Strategically structured to aid sequential learning, yet with self-contained chapters for those seeking solutions to specific image processing challenges. The book serves as a concise and readable practical reference to deploy image processing pipelines in MATLAB quickly and efficiently. With its accessible and practical approach, the book is a valuable guide for those who navigate this evolving area, including researchers, students, developers, and practitioners in the fields of image processing, computer vision, and image analysis.