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Digital And Image Geometry


Digital And Image Geometry
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Digital Geometry


Digital Geometry
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Author : Reinhard Klette
language : en
Publisher: Morgan Kaufmann
Release Date : 2004-08-06

Digital Geometry written by Reinhard Klette and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-06 with Computers categories.


The first book on digital geometry by the leaders in the field.



Digital Geometry In Image Processing


Digital Geometry In Image Processing
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Author : Jayanta Mukhopadhyay
language : en
Publisher: CRC Press
Release Date : 2016-04-19

Digital Geometry In Image Processing written by Jayanta Mukhopadhyay and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Computers categories.


Exploring theories and applications developed during the last 30 years, Digital Geometry in Image Processing presents a mathematical treatment of the properties of digital metric spaces and their relevance in analyzing shapes in two and three dimensions. Unlike similar books, this one connects the two areas of image processing and digital geometry,



Digital And Image Geometry


Digital And Image Geometry
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Author : Gilles Bertrand
language : en
Publisher: Springer
Release Date : 2003-07-31

Digital And Image Geometry written by Gilles Bertrand and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-31 with Computers categories.


Images or discrete objects, to be analyzed based on digital image data, need to be represented, analyzed, transformed, recovered etc. These problems have stimulated many interesting developments in theoretical foundations of image processing. This coherent anthology presents 27 state-of-the-art surveys and research papers on digital image geometry and topology. It is based on a winter school held at Dagstuhl Castle, Germany in December 2000 and offers topical sections on topology, representation, geometry, multigrid convergence, and shape similarity and simplification.



Fractal Geometry In Digital Imaging


Fractal Geometry In Digital Imaging
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Author : Martin J. Turner
language : en
Publisher: Academic Press
Release Date : 1998-06-23

Fractal Geometry In Digital Imaging written by Martin J. Turner and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-06-23 with Computers categories.


This book is concerned with the theory and application of fractal geometry in digital imaging. Throughout the book, a series of new approaches to defining fractals are illustrated, such as the analysis of the fractal power spectrum and the use of fractional differentials. Several new algorithms and applications are also discussed and applied to real life images. Fractal Geometry in Digital imaging will appeal to postgraduates, researchers and practitioners in image processing, mathematics and computing, information technology and engineering.



Digital And Image Geometry


Digital And Image Geometry
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Author : Gilles Bertrand
language : en
Publisher: Springer
Release Date : 2002-01-16

Digital And Image Geometry written by Gilles Bertrand and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-01-16 with Computers categories.


Images or discrete objects, to be analyzed based on digital image data, need to be represented, analyzed, transformed, recovered etc. These problems have stimulated many interesting developments in theoretical foundations of image processing. This coherent anthology presents 27 state-of-the-art surveys and research papers on digital image geometry and topology. It is based on a winter school held at Dagstuhl Castle, Germany in December 2000 and offers topical sections on topology, representation, geometry, multigrid convergence, and shape similarity and simplification.



Binary Digital Image Processing


Binary Digital Image Processing
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Author : Stéphane Marchand-Maillet
language : en
Publisher: Elsevier
Release Date : 1999-12-01

Binary Digital Image Processing written by Stéphane Marchand-Maillet and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-12-01 with Technology & Engineering categories.


Binary Digital Image Processing is aimed at faculty, postgraduate students and industry specialists. It is both a text reference and a textbook that reviews and analyses the research output in this field of binary image processing. It is aimed at both advanced researchers as well as educating the novice to this area. The theoretical part of this book includes the basic principles required for binary digital image analysis. The practical part which will take an algorithmic approach addresses problems which find applications beyond binary digital line image processing. The book first outlines the theoretical framework underpinning the study of digital image processing with particular reference to those needed for line image processing. The theoretical tools in the first part of the book set the stage for the second and third parts, where low-level binary image processing is addressed and then intermediate level processing of binary line images is studied. The book concludes with some practical applications of this work by reviewing some industrial and software applications (engineering drawing storage and primitive extraction, fingerprint compression). Outlines the theoretical framework underpinning the study of digital image processing with particular reference to binary line image processing Addresses low-level binary image processing, reviewing a number of essential characteristics of binary digital images and providing solution procedures and algorithms Includes detailed reviews of topics in binary digital image processing with up-to-date research references in relation to each of the problems under study Includes some practical applications of this work by reviewing some common applications Covers a range of topics, organised by theoretical field rather than being driven by problem definitions



Digital Geometry Algorithms


Digital Geometry Algorithms
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Author : Valentin E. Brimkov
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-05-20

Digital Geometry Algorithms written by Valentin E. Brimkov 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 2012-05-20 with Technology & Engineering categories.


Digital geometry emerged as an independent discipline in the second half of the last century. It deals with geometric properties of digital objects and is developed with the unambiguous goal to provide rigorous theoretical foundations for devising new advanced approaches and algorithms for various problems of visual computing. Different aspects of digital geometry have been addressed in the literature. This book is the first one that explicitly focuses on the presentation of the most important digital geometry algorithms. Each chapter provides a brief survey on a major research area related to the general volume theme, description and analysis of related fundamental algorithms, as well as new original contributions by the authors. Every chapter contains a section in which interesting open problems are addressed.



Digital And Discrete Geometry


Digital And Discrete Geometry
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Author : Li M. Chen
language : en
Publisher: Springer
Release Date : 2014-12-12

Digital And Discrete Geometry written by Li M. Chen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-12 with Computers categories.


This book provides comprehensive coverage of the modern methods for geometric problems in the computing sciences. It also covers concurrent topics in data sciences including geometric processing, manifold learning, Google search, cloud data, and R-tree for wireless networks and BigData. The author investigates digital geometry and its related constructive methods in discrete geometry, offering detailed methods and algorithms. The book is divided into five sections: basic geometry; digital curves, surfaces and manifolds; discretely represented objects; geometric computation and processing; and advanced topics. Chapters especially focus on the applications of these methods to other types of geometry, algebraic topology, image processing, computer vision and computer graphics. Digital and Discrete Geometry: Theory and Algorithms targets researchers and professionals working in digital image processing analysis, medical imaging (such as CT and MRI) and informatics, computer graphics, computer vision, biometrics, and information theory. Advanced-level students in electrical engineering, mathematics, and computer science will also find this book useful as a secondary text book or reference. Praise for this book: This book does present a large collection of important concepts, of mathematical, geometrical, or algorithmical nature, that are frequently used in computer graphics and image processing. These concepts range from graphs through manifolds to homology. Of particular value are the sections dealing with discrete versions of classic continuous notions. The reader finds compact definitions and concise explanations that often appeal to intuition, avoiding finer, but then necessarily more complicated, arguments... As a first introduction, or as a reference for professionals working in computer graphics or image processing, this book should be of considerable value." - Prof. Dr. Rolf Klein, University of Bonn.



Mathematics Of Digital Images


Mathematics Of Digital Images
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Author : S. G. Hoggar
language : en
Publisher: Cambridge University Press
Release Date : 2006-09-14

Mathematics Of Digital Images written by S. G. Hoggar and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-14 with Computers categories.


Compression, restoration and recognition are three of the key components of digital imaging. The mathematics needed to understand and carry out all these components are explained here in a style that is at once rigorous and practical with many worked examples, exercises with solutions, pseudocode, and sample calculations on images. The introduction lists fast tracks to special topics such as Principal Component Analysis, and ways into and through the book, which abounds with illustrations. The first part describes plane geometry and pattern-generating symmetries, along with some on 3D rotation and reflection matrices. Subsequent chapters cover vectors, matrices and probability. These are applied to simulation, Bayesian methods, Shannon's information theory, compression, filtering and tomography. The book will be suited for advanced courses or for self-study. It will appeal to all those working in biomedical imaging and diagnosis, computer graphics, machine vision, remote sensing, image processing and information theory and its applications.



A Computational Geometry Approach To Digital Image Contour Extraction


A Computational Geometry Approach To Digital Image Contour Extraction
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Author : Pedro J. Tejada
language : en
Publisher:
Release Date : 2009

A Computational Geometry Approach To Digital Image Contour Extraction written by Pedro J. Tejada and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Electronic dissertations categories.


We present a method for extracting contours from digital images, using techniques from computational geometry. Our approach is different from traditional pixel-based methods in image processing. Instead of working directly with pixels, we extract a set of oriented feature points from the input digital images, then apply classical geometric techniques, such as clustering, linking, and simplification, to find contours among these points. Experiments on synthetic and natural images show that our method can effectively extract contours, even from images with considerable noise; moreover, the extracted contours have a very compact representation.