Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Continuous Representations Of Digital Images
Download Continuous Representations Of Digital Images full books in PDF, epub, and Kindle. Read online Continuous Representations Of Digital Images ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Digital Image Processing by : Bernd Jähne
Download or read book Digital Image Processing written by Bernd Jähne and published by Springer Science & Business Media. This book was released on 2005-04-07 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis 2D and 3D Image Analysis by Moments by : Jan Flusser
Download or read book 2D and 3D Image Analysis by Moments written by Jan Flusser and published by John Wiley & Sons. This book was released on 2016-12-19 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents recent significant and rapid development in the field of 2D and 3D image analysis 2D and 3D Image Analysis by Moments, is a unique compendium of moment-based image analysis which includes traditional methods and also reflects the latest development of the field. The book presents a survey of 2D and 3D moment invariants with respect to similarity and affine spatial transformations and to image blurring and smoothing by various filters. The book comprehensively describes the mathematical background and theorems about the invariants but a large part is also devoted to practical usage of moments. Applications from various fields of computer vision, remote sensing, medical imaging, image retrieval, watermarking, and forensic analysis are demonstrated. Attention is also paid to efficient algorithms of moment computation. Key features: Presents a systematic overview of moment-based features used in 2D and 3D image analysis. Demonstrates invariant properties of moments with respect to various spatial and intensity transformations. Reviews and compares several orthogonal polynomials and respective moments. Describes efficient numerical algorithms for moment computation. It is a "classroom ready" textbook with a self-contained introduction to classifier design. The accompanying website contains around 300 lecture slides, Matlab codes, complete lists of the invariants, test images, and other supplementary material. 2D and 3D Image Analysis by Moments, is ideal for mathematicians, computer scientists, engineers, software developers, and Ph.D students involved in image analysis and recognition. Due to the addition of two introductory chapters on classifier design, the book may also serve as a self-contained textbook for graduate university courses on object recognition.
Book Synopsis Binary Digital Image Processing by : Stéphane Marchand-Maillet
Download or read book Binary Digital Image Processing written by Stéphane Marchand-Maillet and published by Elsevier. This book was released on 1999-12-01 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Mining Intelligence and Knowledge Exploration by : Ashish Ghosh
Download or read book Mining Intelligence and Knowledge Exploration written by Ashish Ghosh and published by Springer. This book was released on 2017-12-05 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the 5th International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2017, held in Hyderabad, India, in December 2017. The 40 full papers presented were carefully reviewed and selected from 139 submissions. The papers were grouped into various subtopics including arti ficial intelligence, machine learning, image processing, pattern recognition, speech processing, information retrieval, natural language processing, social network analysis, security, and fuzzy rough sets.
Author :Leonid P. Yaroslavsky Publisher :Springer Science & Business Media ISBN 13 :364281929X Total Pages :284 pages Book Rating :4.6/5 (428 download)
Book Synopsis Digital Picture Processing by : Leonid P. Yaroslavsky
Download or read book Digital Picture Processing written by Leonid P. Yaroslavsky and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text has been prepared for researchers involved in picture processing. It is designed to help them in mastering the methods at the professional level. From the viewpoint of both signal theory and information theory, the treatment covers the basic principles of the digital methods for the processing of continuous signals such as picture signals. In addition, it reviews schemes for correcting signal distortion in imaging systems, for the enhancement of picture contrast, and for the automatic measurement of picture details. The text contains new results on digital filtering and transformation, and a new approach to picture processing. The main applications, as documented by numerous examples, are in space research, remote sensing, medical diag nostics, nondestructive testing. The material has been tested extensively in class-room use with students of both computer science and electrical engineering at the senior undergraduate and the first-year graduate level. The present edition is not a translation of the original Russian book, but it has been extended substantially as well as updated. The author is grate ful to Dr. H. Lotsch of Springer-Verlag for his proposal to prepare this text and for many helpful suggestions. He likes to thank Dr. P. Hawkes for a careful copy-editing of the manuscript, and acknowledges numerous criti cal comments by Professors S.L. Gorelik, T.S. Huang, A.W. Lohmann,and A.M. Trakhtman.
Book Synopsis Discrete Representation of Spatial Objects in Computer Vision by : L.J. Latecki
Download or read book Discrete Representation of Spatial Objects in Computer Vision written by L.J. Latecki and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the most natural representations for modelling spatial objects in computers is discrete representations in the form of a 2D square raster and a 3D cubic grid, since these are naturally obtained by segmenting sensor images. However, the main difficulty is that discrete representations are only approximations of the original objects, and can only be as accurate as the cell size allows. If digitisation is done by real sensor devices, then there is the additional difficulty of sensor distortion. To overcome this, digital shape features must be used that abstract from the inaccuracies of digital representation. In order to ensure the correspondence of continuous and digital features, it is necessary to relate shape features of the underlying continuous objects and to determine the necessary resolution of the digital representation. This volume gives an overview and a classification of the actual approaches to describe the relation between continuous and discrete shape features that are based on digital geometric concepts of discrete structures. Audience: This book will be of interest to researchers and graduate students whose work involves computer vision, image processing, knowledge representation or representation of spatial objects.
Book Synopsis Image Processing for Computer Graphics by : Jonas Gomes
Download or read book Image Processing for Computer Graphics written by Jonas Gomes and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this book is on providing a thorough treatment of image processing with an emphasis on those aspects most used in computer graphics. Throughout, the authors concentrate on describing and analysing the underlying concepts rather than on presenting algorithms or pseudocode. As befits a modern introduction to this topic, a healthy balance is struck between discussing the underlying mathematics of the subject and the main topics covered: signal processing, data discretization, the theory of colour and different colour systems, operations in images, dithering and half-toning, warping and morphing, and image processing.
Book Synopsis Digital and Image Geometry by : Gilles Bertrand
Download or read book Digital and Image Geometry written by Gilles Bertrand and published by Springer. This book was released on 2003-07-31 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Langford's Advanced Photography by : Efthimia Bilissi
Download or read book Langford's Advanced Photography written by Efthimia Bilissi and published by CRC Press. This book was released on 2013-01-25 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Langford's Advanced Photography is the only advanced photography guide a serious student or aspiring professional will ever need. In this eighth edition, Efthimia Bilissi continues in the footsteps of Michael Langford by combining an unrivalled level of technical detail with a straightforward writing style while simultaneously bringing the text firmly in to the digital era. This book covers the entire photographic process from a technical standpoint - not only detailing the 'how' but also explaining the 'why' that is so often missing from photography texts. From the workings of cameras, lenses, digital imaging sensors and software to new hot topics such as HDR imaging, digital asset management, and even running your own photography business, everything a serious photographer could need to extend their art into professional realms is covered. The book also benefits from a full glossary, charts and inspirational full color images throughout, with summaries and projects at the end of each chapter to reinforce the theory.
Book Synopsis Digital Image Processing by : Wilhelm Burger
Download or read book Digital Image Processing written by Wilhelm Burger and published by Springer Nature. This book was released on 2022-08-24 with total page 937 pages. Available in PDF, EPUB and Kindle. Book excerpt: This modern, self-contained textbook provides an accessible introduction to the field from the perspective of a practicing programmer, supporting a detailed presentation of the fundamental concepts and techniques with practical exercises and fully worked out implementation examples. This much-anticipated 3rd edition of the definitive textbook on Digital Image Processing has been completely revised and expanded with new content, improved illustrations and teaching material. Topics and features: Contains new chapters on fitting of geometric primitives, randomized feature detection (RANSAC), and maximally stable extremal regions (MSER). Includes exercises for most chapters and provides additional supplementary materials and software implementations at an associated website. Uses ImageJ for all examples, a widely used open source imaging environment that can run on all major platforms. Describes each solution in a stepwise manner in mathematical form, as abstract pseudocode algorithms, and as complete Java programs that can be easily ported to other programming languages. Presents suggested outlines for a one- or two-semester course in the preface. Advanced undergraduate and graduate students will find this comprehensive and example-rich textbook will serve as the ideal introduction to digital image processing. It will also prove invaluable to researchers and professionals seeking a practically focused self-study primer.
Book Synopsis Stochastic Partial Differential Equations for Computer Vision with Uncertain Data by : Tobias Preusser
Download or read book Stochastic Partial Differential Equations for Computer Vision with Uncertain Data written by Tobias Preusser and published by Springer Nature. This book was released on 2022-06-01 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: In image processing and computer vision applications such as medical or scientific image data analysis, as well as in industrial scenarios, images are used as input measurement data. It is good scientific practice that proper measurements must be equipped with error and uncertainty estimates. For many applications, not only the measured values but also their errors and uncertainties, should be—and more and more frequently are—taken into account for further processing. This error and uncertainty propagation must be done for every processing step such that the final result comes with a reliable precision estimate. The goal of this book is to introduce the reader to the recent advances from the field of uncertainty quantification and error propagation for computer vision, image processing, and image analysis that are based on partial differential equations (PDEs). It presents a concept with which error propagation and sensitivity analysis can be formulated with a set of basic operations. The approach discussed in this book has the potential for application in all areas of quantitative computer vision, image processing, and image analysis. In particular, it might help medical imaging finally become a scientific discipline that is characterized by the classical paradigms of observation, measurement, and error awareness. This book is comprised of eight chapters. After an introduction to the goals of the book (Chapter 1), we present a brief review of PDEs and their numerical treatment (Chapter 2), PDE-based image processing (Chapter 3), and the numerics of stochastic PDEs (Chapter 4). We then proceed to define the concept of stochastic images (Chapter 5), describe how to accomplish image processing and computer vision with stochastic images (Chapter 6), and demonstrate the use of these principles for accomplishing sensitivity analysis (Chapter 7). Chapter 8 concludes the book and highlights new research topics for the future.
Book Synopsis Digital Image Processing with C++ by : David Tschumperle
Download or read book Digital Image Processing with C++ written by David Tschumperle and published by CRC Press. This book was released on 2023-03-23 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Image Processing with C++ presents the theory of digital image processing, and implementations of algorithms using a dedicated library. Processing a digital image means transforming its content (denoising, stylizing, etc.), or extracting information to solve a given problem (object recognition, measurement, motion estimation, etc.). This book presents the mathematical theories underlying digital image processing, as well as their practical implementation through examples of algorithms implemented in the C++ language, using the free and easy-to-use CImg library. Chapters cover in a broad way the field of digital image processing and proposes practical and functional implementations of each method theoretically described. The main topics covered include filtering in spatial and frequency domains, mathematical morphology, feature extraction and applications to segmentation, motion estimation, multispectral image processing and 3D visualization. Students or developers wishing to discover or specialize in this discipline, teachers and researchers wishing to quickly prototype new algorithms, or develop courses, will all find in this book material to discover image processing or deepen their knowledge in this field.
Book Synopsis Scientific and Technical Aerospace Reports by :
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computed Tomography - E-Book by : Euclid Seeram
Download or read book Computed Tomography - E-Book written by Euclid Seeram and published by Elsevier Health Sciences. This book was released on 2015-09-02 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build the foundation necessary for the practice of CT scanning with Computed Tomography: Physical Principles, Clinical Applications, and Quality Control, 4th Edition. Written to meet the varied requirements of radiography students and practitioners, this two-color text provides comprehensive coverage of the physical principles of CT and its clinical applications. Its clear, straightforward approach is designed to improve your understanding of sectional anatomic images as they relate to CT — and facilitate communication between CT technologists and other medical personnel. - Comprehensively covers CT at just the right depth for technologists – going beyond superficial treatment to accommodate all the major advances in CT. One complete CT resource covers what you need to know! - The latest information on advances in CT imaging, including: advances in volume CT scanning; CT fluoroscopy; multi-slice applications like 3-D imaging, CT angiography, and virtual reality imaging (endoscopy) – all with excellent coverage of state-of-the-art principles, instrumentation, clinical applications, and quality control. - More than 600 photos and line drawings help students understand and visualize concepts. - Chapter outlines show you what is most important in every chapter. - Strong ancillary package on Evolve facilitates instructor preparation and provides a full complement of support for teaching and learning with the text - NEW! Highlights recent technical developments in CT, such as: the iterative reconstruction; detector updates; x-ray tube innovations; radiation dose optimization; hardware and software developments; and the introduction of a new scanner from Toshiba. - NEW! Learning Objectives and Key Terms at the beginning of every chapter and a Glossary at the end of the book help you organize and focus on key information. - NEW! End-of-Chapter Questions provide opportunity for review and greater challenge. - NEW! An added second color aids in helping you read and retain pertinent information
Book Synopsis Digital Holography and Digital Image Processing by : Leonid Yaroslavsky
Download or read book Digital Holography and Digital Image Processing written by Leonid Yaroslavsky and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital holography and digital image processing are twins born by computer era. They share origin, theoretical base, methods and algorithms. The present book describes these common fundamentals principles, methods and algorithms including image and hologram digitization, data compression, digital transforms and efficient computational algorithms, statistical and Monte-Carlo methods, image restoration and enhancement, image reconstruction in tomography and digital holography, discrete signal resampling and image geometrical transformations, accurate measurements and reliable target localization in images, recording and reconstruction of computer generated holograms, adaptive and nonlinear filters for sensor signal perfecting and image restoration and enhancement. The book combines theory, heavily illustrated practical methods and efficient computational algorithms and is written for senior-level undergraduate and graduate students, researchers and engineers in optics, photonics, opto-electronics and electronic engineering.
Book Synopsis Discrete Mathematical Problems with Medical Applications by : Dingzhu Du
Download or read book Discrete Mathematical Problems with Medical Applications written by Dingzhu Du and published by American Mathematical Soc.. This book was released on 2000-01-01 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents selected papers from a three-day workshop held during the DIMACS special years on Mathematical Support for Molecular Biology. Participants from the world over attended, giving the workshop an important international component. The study of discrete mathematics and optimization with medical applications is emerging as an important new research area. Significant applications have been found in medical research, for example in radiosurgical treatment planning, virtual endoscopy, and more. This volume presents a substantive cross-section of active research topics ranging from medical imaging to human anatomy modeling, from gamma knife treatment planning to radiation therapy, and from epileptic seizures to DNA screening. This book is an up-to-date resource reflecting current research directions.
Book Synopsis Microscope Image Processing by : Qiang Wu
Download or read book Microscope Image Processing written by Qiang Wu and published by Elsevier. This book was released on 2010-07-27 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital image processing, an integral part of microscopy, is increasingly important to the fields of medicine and scientific research. This book provides a unique one-stop reference on the theory, technique, and applications of this technology. Written by leading experts in the field, this book presents a unique practical perspective of state-of-the-art microscope image processing and the development of specialized algorithms. It contains in-depth analysis of methods coupled with the results of specific real-world experiments. Microscope Image Processing covers image digitization and display, object measurement and classification, autofocusing, and structured illumination. Key Features: - Detailed descriptions of many leading-edge methods and algorithms - In-depth analysis of the method and experimental results, taken from real-life examples - Emphasis on computational and algorithmic aspects of microscope image processing - Advanced material on geometric, morphological, and wavelet image processing, fluorescence, three-dimensional and time-lapse microscopy, microscope image enhancement, MultiSpectral imaging, and image data management This book is of interest to all scientists, engineers, clinicians, post-graduate fellows, and graduate students working in the fields of biology, medicine, chemistry, pharmacology, and other related fields. Anyone who uses microscopes in their work and needs to understand the methodologies and capabilities of the latest digital image processing techniques will find this book invaluable. - Presents a unique practical perspective of state-of-the-art microcope image processing and the development of specialized algorithms - Each chapter includes in-depth analysis of methods coupled with the results of specific real-world experiments - Co-edited by Kenneth R. Castleman, world-renowned pioneer in digital image processing and author of two seminal textbooks on the subject
