Digital Image Processing Algorithms
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Author |
: Ioannis Pitas |
Publisher |
: John Wiley & Sons |
Total Pages |
: 436 |
Release |
: 2000-02-22 |
ISBN-10 |
: 0471377392 |
ISBN-13 |
: 9780471377399 |
Rating |
: 4/5 (92 Downloads) |
Synopsis Digital Image Processing Algorithms and Applications by : Ioannis Pitas
A unique collection of algorithms and lab experiments for practitioners and researchers of digital image processing technology With the field of digital image processing rapidly expanding, there is a growing need for a book that would go beyond theory and techniques to address the underlying algorithms. Digital Image Processing Algorithms and Applications fills the gap in the field, providing scientists and engineers with a complete library of algorithms for digital image processing, coding, and analysis. Digital image transform algorithms, edge detection algorithms, and image segmentation algorithms are carefully gleaned from the literature for compatibility and a track record of acceptance in the scientific community. The author guides readers through all facets of the technology, supplementing the discussion with detailed lab exercises in EIKONA, his own digital image processing software, as well as useful PDF transparencies. He covers in depth filtering and enhancement, transforms, compression, edge detection, region segmentation, and shape analysis, explaining at every step the relevant theory, algorithm structure, and its use for problem solving in various applications. The availability of the lab exercises and the source code (all algorithms are presented in C-code) over the Internet makes the book an invaluable self-study guide. It also lets interested readers develop digital image processing applications on ordinary desktop computers as well as on Unix machines.
Author |
: Wilhelm Burger |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 596 |
Release |
: 2012-01-19 |
ISBN-10 |
: 1846283795 |
ISBN-13 |
: 9781846283796 |
Rating |
: 4/5 (95 Downloads) |
Synopsis Digital Image Processing by : Wilhelm Burger
Written as an introduction for undergraduate students, this textbook covers the most important methods in digital image processing. Formal and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. The book uses the image processing environment ImageJ, freely distributed by the National Institute of Health. A comprehensive website supports the book, and contains full source code for all examples in the book, a question and answer forum, slides for instructors, etc. Digital Image Processing in Java is the definitive textbook for computer science students studying image processing and digital processing.
Author |
: Wilhelm Burger |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 374 |
Release |
: 2013-11-18 |
ISBN-10 |
: 9781848829190 |
ISBN-13 |
: 1848829191 |
Rating |
: 4/5 (90 Downloads) |
Synopsis Principles of Digital Image Processing by : Wilhelm Burger
This textbook is the third of three volumes which provide a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and concrete implementations of the most important techniques. This volume builds upon the introductory material presented in the first two volumes with additional key concepts and methods in image processing. Features: practical examples and carefully constructed chapter-ending exercises; real implementations, concise mathematical notation, and precise algorithmic descriptions designed for programmers and practitioners; easily adaptable Java code and completely worked-out examples for easy inclusion in existing applications; uses ImageJ; provides a supplementary website with the complete Java source code, test images, and corrections; additional presentation tools for instructors including a complete set of figures, tables, and mathematical elements.
Author |
: D. Sundararajan |
Publisher |
: Springer |
Total Pages |
: 475 |
Release |
: 2017-10-12 |
ISBN-10 |
: 9789811061134 |
ISBN-13 |
: 9811061130 |
Rating |
: 4/5 (34 Downloads) |
Synopsis Digital Image Processing by : D. Sundararajan
This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image processing accessible and easy to learn. It is written in a clear and concise manner with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs for the implementation of image processing algorithms. The book also offers comprehensive coverage of the following topics: Enhancement, Transform processing, Restoration, Registration, Reconstruction from projections, Morphological image processing, Edge detection, Object representation and classification, Compression, and Color processing.
Author |
: Ioannis Pitas |
Publisher |
: |
Total Pages |
: 362 |
Release |
: 1993 |
ISBN-10 |
: OCLC:652434118 |
ISBN-13 |
: |
Rating |
: 4/5 (18 Downloads) |
Synopsis Digital Image Processing Algorithms by : Ioannis Pitas
Author |
: T.Y. Kong |
Publisher |
: Elsevier |
Total Pages |
: 301 |
Release |
: 1996-07-17 |
ISBN-10 |
: 9780080552040 |
ISBN-13 |
: 0080552048 |
Rating |
: 4/5 (40 Downloads) |
Synopsis Topological Algorithms for Digital Image Processing by : T.Y. Kong
Basic topological algorithms are the subject of this new book. It presents their underlying theory and discusses their applications.Due to the wide variety of topics treated in the seven chapters, no attempt has been made to standardize the notation and terminology used by the authors. Each chapter, however, is self-contained and can be read independently of the others. Some of the basic terminology and fundamental concepts of digital topology are reviewed in the appendix which also describes important areas of the field. A bibliography of over 360 references is also provided.The notations and terminologies used in this book will serve to introduce readers to the even wider variety that exists in the voluminous literature dealing with topological algorithms.
Author |
: Bernd Jähne |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 560 |
Release |
: 2013-03-09 |
ISBN-10 |
: 9783662034774 |
ISBN-13 |
: 3662034778 |
Rating |
: 4/5 (74 Downloads) |
Synopsis Digital Image Processing by : Bernd Jähne
This long-established and well-received monograph offers an integral view of image processing - from image acquisition to the extraction of the data of interest – written by a physical scientists for other scientists. Supplements discussion of the general concepts is supplemented with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms. Completely revised and extended, the most notable extensions being a detailed discussion on random variables and fields, 3-D imaging techniques and a unified approach to regularized parameter estimation. Complete text of the book is now available on the accompanying CD-ROM. It is hyperlinked so that it can be used in a very flexible way. CD-ROM contains a full set of exercises to all topics covered by this book and a runtime version of the image processing software heurisko. A large collection of images, image sequences, and volumetric images is available for practice exercises
Author |
: Vladimir Kovalevsky |
Publisher |
: Apress |
Total Pages |
: 279 |
Release |
: 2018-12-10 |
ISBN-10 |
: 9781484242377 |
ISBN-13 |
: 1484242378 |
Rating |
: 4/5 (77 Downloads) |
Synopsis Modern Algorithms for Image Processing by : Vladimir Kovalevsky
Utilize modern methods for digital image processing and take advantage of the many time-saving templates provided for all of the projects in this book. Modern Algorithms for Image Processing approaches the topic of image processing through teaching by example. Throughout the book, you will create projects that resolve typical problems that you might encounter in the world of digital image processing. Some projects teach you methods for addressing the quality of images, such as reducing random errors or noise and suppressing pulse noise (salt and pepper), a method valuable for improving the quality of historical images. Other methods detail how to correct inhomogeneous illumination, not by means of subtracting the mean illumination, but through division, a far more efficient method. Additional projects cover contrasting, and a process for edge detection, more efficient than Canny's, for detecting edges in color images directly, without converting them into black and white images. What You'll Learn Apply innovative methods for suppressing pulse noise, enhancing contrast, and edge detectionKnow the pros and cons of enlisting a particular method Use new approaches for image compression and recognizing circles in photos Utilize a valuable method for straightening photos of paintings taken at an oblique angle, a critical concept to understand when using flash at a right angle Understand the problem statement of polygonal approximation of boundaries or edges and its solution Use a new method for detecting bicycles in trafficAccess complete source code examples in C# for all of the projects Who This Book Is For C# developers who work with digital image processing or are interested in informatics. The reader should have programming experience and access to an integrated development environment (IDE), ideally .NET. This book does not prove or disprove theorems, but suggests methods for learning valuable concepts that will enable you to customize your own image processing projects.
Author |
: J. R. Parker |
Publisher |
: John Wiley & Sons |
Total Pages |
: 498 |
Release |
: 2010-11-29 |
ISBN-10 |
: 9781118021880 |
ISBN-13 |
: 1118021886 |
Rating |
: 4/5 (80 Downloads) |
Synopsis Algorithms for Image Processing and Computer Vision by : J. R. Parker
A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in content-based searches and the use of graphics cards as image processing computational aids. It’s an ideal reference for software engineers and developers, advanced programmers, graphics programmers, scientists, and other specialists who require highly specialized image processing. Algorithms now exist for a wide variety of sophisticated image processing applications required by software engineers and developers, advanced programmers, graphics programmers, scientists, and related specialists This bestselling book has been completely updated to include the latest algorithms, including 2D vision methods in content-based searches, details on modern classifier methods, and graphics cards used as image processing computational aids Saves hours of mathematical calculating by using distributed processing and GPU programming, and gives non-mathematicians the shortcuts needed to program relatively sophisticated applications. Algorithms for Image Processing and Computer Vision, 2nd Edition provides the tools to speed development of image processing applications.
Author |
: Uvais Qidwai |
Publisher |
: CRC Press |
Total Pages |
: 316 |
Release |
: 2009-10-15 |
ISBN-10 |
: 9781420079517 |
ISBN-13 |
: 1420079514 |
Rating |
: 4/5 (17 Downloads) |
Synopsis Digital Image Processing by : Uvais Qidwai
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