Dictionary Of Computer Vision And Image Processing

Author : Robert B. Fisher,Toby P. Breckon,Kenneth Dawson-Howe,Andrew Fitzgibbon,Craig Robertson,Emanuele Trucco,Christopher K. I. Williams
Publisher : John Wiley & Sons
Page : 442 pages
File Size : 42,5 Mb
Release : 2013-11-08
Category : Computers
ISBN : 9781118706817

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Dictionary of Computer Vision and Image Processing by Robert B. Fisher,Toby P. Breckon,Kenneth Dawson-Howe,Andrew Fitzgibbon,Craig Robertson,Emanuele Trucco,Christopher K. I. Williams Pdf

Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image Processing is a comprehensive and reliable resource which now provides explanations of over 3500 of the most commonly used terms across image processing, computer vision and related fields including machine vision. It offers clear and concise definitions with short examples or mathematical precision where necessary for clarity that ultimately makes it a very usable reference for new entrants to these fields at senior undergraduate and graduate level, through to early career researchers to help build up knowledge of key concepts. As the book is a useful source for recent terminology and concepts, experienced professionals will also find it a valuable resource for keeping up to date with the latest advances. New features of the 2nd Edition: Contains more than 1000 new terms, notably an increased focus on image processing and machine vision terms; Includes the addition of reference links across the majority of terms pointing readers to further information about the concept under discussion so that they can continue to expand their understanding; Now available as an eBook with enhanced content: approximately 50 videos to further illustrate specific terms; active cross-linking between terms so that readers can easily navigate from one related term to another and build up a full picture of the topic in question; and hyperlinked references to fully embed the text in the current literature.

Author : R. B. Fisher
Publisher : Unknown
Page : 342 pages
File Size : 43,9 Mb
Release : 2005
Category : Computer vision
ISBN : 0470016299

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Dictionary of Computer Vision and Image Processing by R. B. Fisher Pdf

Author : R. B. Fisher
Publisher : Wiley-Blackwell
Page : 368 pages
File Size : 55,8 Mb
Release : 2005-08-05
Category : Computers
ISBN : UOM:39015062543726

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Dictionary of Computer Vision and Image Processing by R. B. Fisher Pdf

The definitive guide for professionals working with computer vision, image processing and multimedia applications Developments in computer vision, image analysis and image processing are progressing at a remarkable rate. The breadth of applications is vast, covering a range of subject areas from physics and mathematics to multimedia communications and biometrics. The Dictionary of Computer Vision and Image Processing is a clearly written tool for navigating the latest terminology, concepts and technologies in these established areas of growth. Capturing a snapshot of the subject through its vocabulary, this dictionary: presents a comprehensive and authoritative reference for all computer-vision practitioners; contains more than 2,500 key terms and 400 illustrations on computer vision, image analysis and image processing; provides extensive cross-referencing to guide the reader through new or less commonly encountered terms. The Dictionary of Computer Vision and Image Processing is an indispensable resource for experienced professionals and advanced level students working in computer vision, image processing and multimedia applications. In addition, novice and intermediate level users of computer vision technology will find it an extremely useful reference tool.

Author : Qiang Zhang,Baoxin Li
Publisher : Morgan & Claypool Publishers
Page : 153 pages
File Size : 43,8 Mb
Release : 2015-05-01
Category : Technology & Engineering
ISBN : 9781627057783

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Dictionary Learning in Visual Computing by Qiang Zhang,Baoxin Li Pdf

The last few years have witnessed fast development on dictionary learning approaches for a set of visual computing tasks, largely due to their utilization in developing new techniques based on sparse representation. Compared with conventional techniques employing manually defined dictionaries, such as Fourier Transform and Wavelet Transform, dictionary learning aims at obtaining a dictionary adaptively from the data so as to support optimal sparse representation of the data. In contrast to conventional clustering algorithms like K-means, where a data point is associated with only one cluster center, in a dictionary-based representation, a data point can be associated with a small set of dictionary atoms. Thus, dictionary learning provides a more flexible representation of data and may have the potential to capture more relevant features from the original feature space of the data. One of the early algorithms for dictionary learning is K-SVD. In recent years, many variations/extensions of K-SVD and other new algorithms have been proposed, with some aiming at adding discriminative capability to the dictionary, and some attempting to model the relationship of multiple dictionaries. One prominent application of dictionary learning is in the general field of visual computing, where long-standing challenges have seen promising new solutions based on sparse representation with learned dictionaries. With a timely review of recent advances of dictionary learning in visual computing, covering the most recent literature with an emphasis on papers after 2008, this book provides a systematic presentation of the general methodologies, specific algorithms, and examples of applications for those who wish to have a quick start on this subject.

Author : Srivastava, Rajeev
Publisher : IGI Global
Page : 451 pages
File Size : 52,9 Mb
Release : 2013-09-30
Category : Computers
ISBN : 9781466645592

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Research Developments in Computer Vision and Image Processing: Methodologies and Applications by Srivastava, Rajeev Pdf

Similar to the way in which computer vision and computer graphics act as the dual fields that connect image processing in modern computer science, the field of image processing can be considered a crucial middle road between the vision and graphics fields. Research Developments in Computer Vision and Image Processing: Methodologies and Applications brings together various research methodologies and trends in emerging areas of application of computer vision and image processing. This book is useful for students, researchers, scientists, and engineers interested in the research developments of this rapidly growing field.

Author : Sarfraz, Muhammad
Publisher : IGI Global
Page : 312 pages
File Size : 55,9 Mb
Release : 2014-04-30
Category : Computers
ISBN : 9781466660311

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Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies by Sarfraz, Muhammad Pdf

The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies features timely and informative research on the design and development of computer vision and image processing applications in intelligent agents as well as in multimedia technologies. Covering a diverse set of research in these areas, this publication is ideally designed for use by academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.

Author : Kenneth Dawson-Howe
Publisher : John Wiley & Sons
Page : 240 pages
File Size : 42,8 Mb
Release : 2014-03-20
Category : Computers
ISBN : 9781118848739

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A Practical Introduction to Computer Vision with OpenCV by Kenneth Dawson-Howe Pdf

Explains the theory behind basic computer vision and providesa bridge from the theory to practical implementation using theindustry standard OpenCV libraries Computer Vision is a rapidly expanding area and it is becomingprogressively easier for developers to make use of this field dueto the ready availability of high quality libraries (such as OpenCV2). This text is intended to facilitate the practical use ofcomputer vision with the goal being to bridge the gap between thetheory and the practical implementation of computer vision. Thebook will explain how to use the relevant OpenCV library routinesand will be accompanied by a full working program including thecode snippets from the text. This textbook is a heavilyillustrated, practical introduction to an exciting field, theapplications of which are becoming almost ubiquitous. We arenow surrounded by cameras, for example cameras on computers &tablets/ cameras built into our mobile phones/ camerasin games consoles; cameras imaging difficult modalities (such asultrasound, X-ray, MRI) in hospitals, and surveillance cameras.This book is concerned with helping the next generation of computerdevelopers to make use of all these images in order to developsystems which are more intuitive and interact with us in moreintelligent ways. Explains the theory behind basic computer vision and provides abridge from the theory to practical implementation using theindustry standard OpenCV libraries Offers an introduction to computer vision, with enough theoryto make clear how the various algorithms work but with an emphasison practical programming issues Provides enough material for a one semester course in computervision at senior undergraduate and Masters levels Includes the basics of cameras and images and image processingto remove noise, before moving on to topics such as imagehistogramming; binary imaging; video processing to detect and modelmoving objects; geometric operations & camera models; edgedetection; features detection; recognition in images Contains a large number of vision application problems toprovide students with the opportunity to solve real problems.Images or videos for these problems are provided in the resourcesassociated with this book which include an enhanced eBook

Author : Mark Nixon,Alberto S. Aguado
Publisher : Academic Press
Page : 629 pages
File Size : 50,8 Mb
Release : 2012-09-25
Category : Computers
ISBN : 9780123965493

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Feature Extraction and Image Processing for Computer Vision by Mark Nixon,Alberto S. Aguado Pdf

Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended. Named a 2012 Notable Computer Book for Computing Methodologies by Computing Reviews Essential reading for engineers and students working in this cutting-edge field Ideal module text and background reference for courses in image processing and computer vision The only currently available text to concentrate on feature extraction with working implementation and worked through derivation

Author : Snehasis Mukherjee,Suvadip Mukherjee,Dipti Prasad Mukherjee,Jayanthi Sivaswamy,Suyash Awate,Srirangaraj Setlur,Anoop M. Namboodiri,Santanu Chaudhury
Publisher : Springer
Page : 406 pages
File Size : 53,6 Mb
Release : 2017-10-19
Category : Computers
ISBN : 9783319681245

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Computer Vision, Graphics, and Image Processing by Snehasis Mukherjee,Suvadip Mukherjee,Dipti Prasad Mukherjee,Jayanthi Sivaswamy,Suyash Awate,Srirangaraj Setlur,Anoop M. Namboodiri,Santanu Chaudhury Pdf

This book constitutes the refereed conference proceedings of the ICVGIP 2016 Satellite Workshops, WCVA, DAR, and MedImage, held in Guwahati, India, in December 2016. The papers presented are extended versions of the papers of three of the four workshops: Computer Vision Applications, Document Analysis and Recognition and Medical Image Processing. The Computer Vision Application track received 52 submissions and after a rigorous review process, 18 papers were presented. The focus is mainly on industrial applications of computer vision and related technologies. The Document Analysis and Recognition track received 10 submissions from which 7 papers were selected. The MedImage workshops focuses on problems in medical image computing and received 14 papers from which 9 were accepted for presentation in this book.

Author : J. R. Parker
Publisher : John Wiley & Sons
Page : 498 pages
File Size : 40,9 Mb
Release : 2010-11-29
Category : Computers
ISBN : 9781118021880

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Algorithms for Image Processing and Computer Vision by J. R. Parker Pdf

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 : Brijesh Iyer,A. M. Rajurkar,Venkat Gudivada
Publisher : Springer Nature
Page : 444 pages
File Size : 48,6 Mb
Release : 2020-07-28
Category : Technology & Engineering
ISBN : 9789811540295

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Applied Computer Vision and Image Processing by Brijesh Iyer,A. M. Rajurkar,Venkat Gudivada Pdf

This book gathers high-quality research papers presented at the International Conference on Computing in Engineering and Technology (ICCET 2020) [formerly ICCASP]. A flagship conference on engineering and emerging next-generation technologies, it was jointly organized by Dr. Babasaheb Ambedkar Technological University and MGMs College of Engineering, Nanded, India on 9–11 January 2020. Focusing on applied computer vision and image processing, this proceedings volume includes papers on image processing, computer vision, pattern recognition, and DSP/DIP applications in healthcare systems.

Author : Vishal M. Patel,Rama Chellappa
Publisher : Springer Science & Business Media
Page : 102 pages
File Size : 43,5 Mb
Release : 2013-02-11
Category : Technology & Engineering
ISBN : 9781461463818

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Sparse Representations and Compressive Sensing for Imaging and Vision by Vishal M. Patel,Rama Chellappa Pdf

Compressed sensing or compressive sensing is a new concept in signal processing where one measures a small number of non-adaptive linear combinations of the signal. These measurements are usually much smaller than the number of samples that define the signal. From these small numbers of measurements, the signal is then reconstructed by non-linear procedure. Compressed sensing has recently emerged as a powerful tool for efficiently processing data in non-traditional ways. In this book, we highlight some of the key mathematical insights underlying sparse representation and compressed sensing and illustrate the role of these theories in classical vision, imaging and biometrics problems.

Author : Neeta Nain,Santosh Kumar Vipparthi,Balasubramanian Raman
Publisher : Springer Nature
Page : 440 pages
File Size : 46,5 Mb
Release : 2020-03-28
Category : Computers
ISBN : 9789811540158

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Computer Vision and Image Processing by Neeta Nain,Santosh Kumar Vipparthi,Balasubramanian Raman Pdf

This two-volume set (CCIS 1147, CCIS 1148) constitutes the refereed proceedings of the 4th International Conference on Computer Vision and Image Processing. held in Jaipur, India, in September 2019. The 73 full papers and 10 short papers were carefully reviewed and selected from 202 submissions. The papers are organized according to the following topics:​ Part I: Biometrics; Computer Forensic; Computer Vision; Dimension Reduction; Healthcare Information Systems; Image Processing; Image segmentation; Information Retrieval; Instance based learning; Machine Learning.Part II: ​Neural Network; Object Detection; Object Recognition; Online Handwriting Recognition; Optical Character Recognition; Security and Privacy; Unsupervised Clustering.

Author : Bjoern Menze,Georg Langs,Zhuowen Tu,Antonio Criminisi
Publisher : Springer
Page : 226 pages
File Size : 41,5 Mb
Release : 2011-02-02
Category : Computers
ISBN : 9783642184215

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Medical Computer Vision by Bjoern Menze,Georg Langs,Zhuowen Tu,Antonio Criminisi Pdf

This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2010, held in Beijing, China, in September 2010 as a satellite event of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2010. The 10 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 38 initial submissions. The papers explore the use of modern image recognition technology in tasks such as semantic anatomy parsing, automatic segmentation and quantification, anomaly detection and categorization, data harvesting, semantic navigation and visualization, data organization and clustering, and general-purpose automatic understanding of medical images.

Author : James F. Peters
Publisher : Springer
Page : 431 pages
File Size : 44,9 Mb
Release : 2017-03-17
Category : Computers
ISBN : 9783319524832

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Foundations of Computer Vision by James F. Peters Pdf

This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational geometry, topology and algorithms) in solving CV problems, shape tracking in image object recognition and detecting the repetition of shapes in single images and video frames. Computational geometry provides a visualization of topological structures such as neighborhoods of points embedded in images, while image topology supplies us with structures useful in the analysis and classification of image regions. Algorithms provide a practical, step-by-step means of viewing image structures. The implementations of CV methods in Matlab and Mathematica, classification of chapter problems with the symbols (easily solved) and (challenging) and its extensive glossary of key words, examples and connections with the fabric of CV make the book an invaluable resource for advanced undergraduate and first year graduate students in Engineering, Computer Science or Applied Mathematics. It offers insights into the design of CV experiments, inclusion of image processing methods in CV projects, as well as the reconstruction and interpretation of recorded natural scenes.