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Feature Extraction & Image Processing

Feature Extraction & Image Processing
A Book

by Mark Nixon

  • Publisher : Elsevier
  • Release : 2008-01-08
  • Pages : 424
  • ISBN : 9780080556727
  • Language : En, Es, Fr & De
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Whilst other books cover a broad range of topics, Feature Extraction and Image Processing takes one of the prime targets of applied computer vision, feature extraction, and uses it to provide an essential guide to the implementation of image processing and computer vision techniques. Acting as both a source of reference and a student text, the book explains techniques and fundamentals in a clear and concise manner and helps readers to develop working techniques, with usable code provided throughout. The new edition is updated throughout in line with developments in the field, and is revised to focus on mathematical programming in Matlab. 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

Feature Extraction and Image Processing for Computer Vision

Feature Extraction and Image Processing for Computer Vision
A Book

by Mark Nixon,Alberto Aguado

  • Publisher : Academic Press
  • Release : 2019-11-17
  • Pages : 650
  • ISBN : 0128149779
  • Language : En, Es, Fr & De
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Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. 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 link between theory and exemplar code of the algorithms." Essential background theory is carefully explained. This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation. The only text to concentrate on feature extraction with working implementation and worked through mathematical derivations and algorithmic methods A thorough overview of available feature extraction methods including essential background theory, shape methods, texture and deep learning Up to date coverage of interest point detection, feature extraction and description and image representation (including frequency domain and colour) Good balance between providing a mathematical background and practical implementation Detailed and explanatory of algorithms in MATLAB and Python

Feature Extraction and Image Processing

Feature Extraction and Image Processing
A Book

by Mark Nixon

  • Publisher : Elsevier
  • Release : 2013-10-22
  • Pages : 350
  • ISBN : 0080506259
  • Language : En, Es, Fr & De
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Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals. Ideal module text for courses in artificial intelligence, image processing and computer vision Essential reading for engineers and academics working in this cutting-edge field Supported by free software on a companion website

Feature Extraction & Image Processing, 2nd Edition

Feature Extraction & Image Processing, 2nd Edition
A Book

by Mark Nixon,Alberto Aguado

  • Publisher : Unknown Publisher
  • Release : 2008
  • Pages : 424
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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* 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 * Companion website includes worksheets, links to free software, Matlab files and new demonstrations Image processing and computer vision are currently hot topics with undergraduates and professionals alike. Feature Extraction and Image Processing provides an essential guide to the implementation of image processing and computer vision techniques, explaining techniques and fundamentals in a clear and concise manner. Readers can develop working techniques, with usable code provided throughout and working Matlab and Mathcad files on the web. Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals. The new edition includes: * New coverage of curvature in low-level feature extraction (SIFT and saliency) and features (phase congruency); geometric active contours; morphology; camera models * Updated coverage of image smoothing (anistropic diffusion); skeletonization; edge detection; curvature; shape descriptions (moments) * 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 * Companion website includes worksheets, links to free software, Matlab files and solutions.

Emerging Trends in Image Processing, Computer Vision and Pattern Recognition

Emerging Trends in Image Processing, Computer Vision and Pattern Recognition
A Book

by Leonidas Deligiannidis,Hamid R Arabnia

  • Publisher : Morgan Kaufmann
  • Release : 2014-12-09
  • Pages : 640
  • ISBN : 012802092X
  • Language : En, Es, Fr & De
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Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which at its core consists of three intertwined computer science fields, namely: Image Processing, Computer Vision, and Pattern Recognition. There is significant renewed interest in each of these three fields fueled by Big Data and Data Analytic initiatives including but not limited to; applications as diverse as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. These three core topics discussed here provide a solid introduction to image processing along with low-level processing techniques, computer vision fundamentals along with examples of applied applications and pattern recognition algorithms and methodologies that will be of value to the image processing and computer vision research communities. Drawing upon the knowledge of recognized experts with years of practical experience and discussing new and novel applications Editors’ Leonidas Deligiannidis and Hamid Arabnia cover; Many perspectives of image processing spanning from fundamental mathematical theory and sampling, to image representation and reconstruction, filtering in spatial and frequency domain, geometrical transformations, and image restoration and segmentation Key application techniques in computer vision some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication Pattern recognition algorithms including but not limited to; Supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms. How to use image processing and visualization to analyze big data. Discusses novel applications that can benefit from image processing, computer vision and pattern recognition such as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. Covers key application techniques in computer vision from fundamentals to mid to high level processing some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication. Presents a number of pattern recognition algorithms and methodologies including but not limited to; supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms. Explains how to use image processing and visualization to analyze big data.

Image Processing: Concepts, Methodologies, Tools, and Applications

Image Processing: Concepts, Methodologies, Tools, and Applications
Concepts, Methodologies, Tools, and Applications

by Management Association, Information Resources

  • Publisher : IGI Global
  • Release : 2013-05-31
  • Pages : 1552
  • ISBN : 1466639954
  • Language : En, Es, Fr & De
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Advancements in digital technology continue to expand the image science field through the tools and techniques utilized to process two-dimensional images and videos. Image Processing: Concepts, Methodologies, Tools, and Applications presents a collection of research on this multidisciplinary field and the operation of multi-dimensional signals with systems that range from simple digital circuits to computers. This reference source is essential for researchers, academics, and students in the computer science, computer vision, and electrical engineering fields.

Computer Vision and Image Processing

Computer Vision and Image Processing
Fundamentals and Applications

by Manas Kamal Bhuyan

  • Publisher : CRC Press
  • Release : 2019-11-05
  • Pages : 442
  • ISBN : 1351248383
  • Language : En, Es, Fr & De
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The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is on image acquisition and image formation models, radiometric models of image formation, image formation in the camera, image processing concepts, concept of feature extraction and feature selection for pattern classification/recognition, and advanced concepts like object classification, object tracking, image-based rendering, and image registration. Intended to be a companion to a typical teaching course on computer vision, the book takes a problem-solving approach.

Digital Image Processing and Analysis

Digital Image Processing and Analysis
Human and Computer Vision Applications with CVIPtools, Second Edition

by Scott E Umbaugh

  • Publisher : CRC Press
  • Release : 2010-11-19
  • Pages : 977
  • ISBN : 143980205X
  • Language : En, Es, Fr & De
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Whether for computer evaluation of otherworldly terrain or the latest high definition 3D blockbuster, digital image processing involves the acquisition, analysis, and processing of visual information by computer and requires a unique skill set that has yet to be defined a single text. Until now. Taking an applications-oriented, engineering approach, Digital Image Processing and Analysis provides the tools for developing and advancing computer and human vision applications and brings image processing and analysis together into a unified framework. Providing information and background in a logical, as-needed fashion, the author presents topics as they become necessary for understanding the practical imaging model under study. He offers a conceptual presentation of the material for a solid understanding of complex topics and discusses the theory and foundations of digital image processing and the algorithm development needed to advance the field. With liberal use of color through-out and more materials on the processing of color images than the previous edition, this book provides supplementary exercises, a new chapter on applications, and two major new tools that allow for batch processing, the analysis of imaging algorithms, and the overall research and development of imaging applications. It includes two new software tools, the Computer Vision and Image Processing Algorithm Test and Analysis Tool (CVIP-ATAT) and the CVIP Feature Extraction and Pattern Classification Tool (CVIP-FEPC). Divided into five major sections, this book provides the concepts and models required to analyze digital images and develop computer vision and human consumption applications as well as all the necessary information to use the CVIPtools environment for algorithm development, making it an ideal reference tool for this fast growing field.

Computer Vision with Python 3

Computer Vision with Python 3
A Book

by Saurabh Kapur

  • Publisher : Packt Publishing Ltd
  • Release : 2017-08-24
  • Pages : 206
  • ISBN : 1788292723
  • Language : En, Es, Fr & De
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Unleash the power of computer vision with Python to carry out image processing and computer vision techniques About This Book Learn how to build a full-fledged image processing application using free tools and libraries Perform basic to advanced image and video stream processing with OpenCV's Python APIs Understand and optimize various features of OpenCV with the help of easy-to-grasp examples Who This Book Is For This book is for Python developers who want to perform image processing. It's ideal for those who want to explore the field of computer vision, and design and develop computer vision applications using Python. The reader is expected to have basic knowledge of Python. What You Will Learn Working with open source libraries such Pillow, Scikit-image, and OpenCV Writing programs such as edge detection, color processing, image feature extraction, and more Implementing feature detection algorithms like LBP and ORB Tracking objects using an external camera or a video file Optical Character Recognition using Machine Learning. Understanding Convolutional Neural Networks to learn patterns in images Leveraging Cloud Infrastructure to provide Computer Vision as a Service In Detail This book is a thorough guide for developers who want to get started with building computer vision applications using Python 3. The book is divided into five sections: The Fundamentals of Image Processing, Applied Computer Vision, Making Applications Smarter,Extending your Capabilities using OpenCV, and Getting Hands on. Throughout this book, three image processing libraries Pillow, Scikit-Image, and OpenCV will be used to implement different computer vision algorithms. The book aims to equip readers to build Computer Vision applications that are capable of working in real-world scenarios effectively. Some of the applications that we will look at in the book are Optical Character Recognition, Object Tracking and building a Computer Vision as a Service platform that works over the internet. Style and approach Each stage of the book elaborates on various concepts and algorithms in image processing/computer vision using Python. This step-by-step guide can be used both as a tutorial and as a reference.

Computer Vision and Image Processing

Computer Vision and Image Processing
A Book

by Tim Morris

  • Publisher : Palgrave MacMillan
  • Release : 2003
  • Pages : 300
  • ISBN : 9780333994511
  • Language : En, Es, Fr & De
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Directed at third-year undergraduates and postgraduates, this challenging text offers a complete and up-to-date introduction to computer vision and image processing. Examples in both Java and C++ are used throughout the book making it suitable for a wide range of courses.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
22nd Iberoamerican Congress, CIARP 2017, Valparaíso, Chile, November 7–10, 2017, Proceedings

by Marcelo Mendoza,Sergio Velastín

  • Publisher : Springer
  • Release : 2018-03-11
  • Pages : 730
  • ISBN : 331975193X
  • Language : En, Es, Fr & De
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This book constitutes the refereed post-conference proceedings of the 22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017, held in Valparaíso, Chile, in November 2017. The 87 papers presented were carefully reviewed and selected from 156 submissions. The papers feature research results in the areas of pattern recognition, image processing, computer vision, multimedia and related fields.

Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies

Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies
A Book

by Sarfraz, Muhammad

  • Publisher : IGI Global
  • Release : 2014-04-30
  • Pages : 312
  • ISBN : 1466660317
  • Language : En, Es, Fr & De
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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.

Advances in Decision Sciences, Image Processing, Security and Computer Vision

Advances in Decision Sciences, Image Processing, Security and Computer Vision
International Conference on Emerging Trends in Engineering (ICETE), Vol. 1

by Suresh Chandra Satapathy,K. Srujan Raju,K. Shyamala,D. Rama Krishna,Margarita N. Favorskaya

  • Publisher : Springer
  • Release : 2019-07-12
  • Pages : 806
  • ISBN : 3030243222
  • Language : En, Es, Fr & De
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This book constitutes the proceedings of the First International Conference on Emerging Trends in Engineering (ICETE), held at University College of Engineering and organised by the Alumni Association, University College of Engineering, Osmania University, in Hyderabad, India on 22–23 March 2019. The proceedings of the ICETE are published in three volumes, covering seven areas: Biomedical, Civil, Computer Science, Electrical & Electronics, Electronics & Communication, Mechanical, and Mining Engineering. The 215 peer-reviewed papers from around the globe present the latest state-of-the-art research, and are useful to postgraduate students, researchers, academics and industry engineers working in the respective fields. Volume 1 presents papers on the theme “Advances in Decision Sciences, Image Processing, Security and Computer Vision – International Conference on Emerging Trends in Engineering (ICETE)”. It includes state-of-the-art technical contributions in the area of biomedical and computer science engineering, discussing sustainable developments in the field, such as instrumentation and innovation, signal and image processing, Internet of Things, cryptography and network security, data mining and machine learning.

Recent Trends in Image Processing and Pattern Recognition

Recent Trends in Image Processing and Pattern Recognition
Second International Conference, RTIP2R 2018, Solapur, India, December 21–22, 2018, Revised Selected Papers

by K. C. Santosh,Ravindra S. Hegadi

  • Publisher : Springer
  • Release : 2019-07-19
  • Pages : 717
  • ISBN : 9811391815
  • Language : En, Es, Fr & De
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This three-book set constitutes the refereed proceedings of the Second International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018. The 173 revised full papers presented were carefully reviewed and selected from 374 submissions. The papers are organized in topical sections in the tree volumes. Part I: computer vision and pattern recognition; machine learning and applications; and image processing. Part II: healthcare and medical imaging; biometrics and applications. Part III: document image analysis; image analysis in agriculture; and data mining, information retrieval and applications.

Image Feature Detectors and Descriptors

Image Feature Detectors and Descriptors
Foundations and Applications

by Ali Ismail Awad,Mahmoud Hassaballah

  • Publisher : Springer
  • Release : 2016-02-22
  • Pages : 438
  • ISBN : 3319288547
  • Language : En, Es, Fr & De
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This book provides readers with a selection of high-quality chapters that cover both theoretical concepts and practical applications of image feature detectors and descriptors. It serves as reference for researchers and practitioners by featuring survey chapters and research contributions on image feature detectors and descriptors. Additionally, it emphasizes several keywords in both theoretical and practical aspects of image feature extraction. The keywords include acceleration of feature detection and extraction, hardware implantations, image segmentation, evolutionary algorithm, ordinal measures, as well as visual speech recognition.

Computer Vision in Control Systems-3

Computer Vision in Control Systems-3
Aerial and Satellite Image Processing

by Margarita N. Favorskaya,Lakhmi C. Jain

  • Publisher : Springer
  • Release : 2017-10-25
  • Pages : 343
  • ISBN : 3319675168
  • Language : En, Es, Fr & De
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The research book is a continuation of the authors’ previous works, which are focused on recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The book gathers selected contributions addressing aerial and satellite image processing and related fields. Topics covered include novel tensor and wave models, a new comparative morphology scheme, warping compensation in video stabilization, image deblurring based on physical processes of blur impacts, and a rapid and robust core structural verification algorithm for feature extraction in images and videos, among others. All chapters focus on practical implementations. Given the tremendous interest among researchers in the development and applications of computer vision paradigms in the field of business, engineering, medicine, security and aviation, this book offers a timely guide.

Deep Learning for Image Processing Applications

Deep Learning for Image Processing Applications
A Book

by D.J. Hemanth,V. Vieira Estrela

  • Publisher : IOS Press
  • Release : 2017-12
  • Pages : 284
  • ISBN : 1614998221
  • Language : En, Es, Fr & De
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Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, and security and surveillance. The aim of this book, ‘Deep Learning for Image Processing Applications’, is to offer concepts from these two areas in the same platform, and the book brings together the shared ideas of professionals from academia and research about problems and solutions relating to the multifaceted aspects of the two disciplines. The first chapter provides an introduction to deep learning, and serves as the basis for much of what follows in the subsequent chapters, which cover subjects including: the application of deep neural networks for image classification; hand gesture recognition in robotics; deep learning techniques for image retrieval; disease detection using deep learning techniques; and the comparative analysis of deep data and big data. The book will be of interest to all those whose work involves the use of deep learning and image processing techniques.

Color in Computer Vision

Color in Computer Vision
Fundamentals and Applications

by Theo Gevers,Arjan Gijsenij,Joost van de Weijer,Jan-Mark Geusebroek

  • Publisher : John Wiley & Sons
  • Release : 2012-08-14
  • Pages : 384
  • ISBN : 1118350065
  • Language : En, Es, Fr & De
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While the field of computer vision drives many of today’sdigital technologies and communication networks, the topic of colorhas emerged only recently in most computer vision applications. Oneof the most extensive works to date on color in computer vision,this book provides a complete set of tools for working with colorin the field of image understanding. Based on the authors’ intense collaboration for more thana decade and drawing on the latest thinking in the field ofcomputer science, the book integrates topics from color science andcomputer vision, clearly linking theories, techniques, machinelearning, and applications. The fundamental basics, sampleapplications, and downloadable versions of the software and datasets are also included. Clear, thorough, and practical, Colorin Computer Vision explains: Computer vision, including color-driven algorithms andquantitative results of various state-of-the-art methods Color science topics such as color systems, color reflectionmechanisms, color invariance, and color constancy Digital image processing, including edge detection, featureextraction, image segmentation, and image transformations Signal processing techniques for the development of both imageprocessing and machine learning Robotics and artificial intelligence, including such topics assupervised learning and classifiers for object and scenecategorization Researchers and professionals in computer science,computer vision, color science, electrical engineering, and signalprocessing will learn how to implement color in computer visionapplications and gain insight into future developments in thisdynamic and expanding field.

Computer Vision and Image Processing

Computer Vision and Image Processing
5th International Conference, CVIP 2020, Prayagraj, India, December 4–6, 2020, Revised Selected Papers, Part II

by Satish Kumar Singh

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 329
  • ISBN : 9811610924
  • Language : En, Es, Fr & De
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Computer Vision and Information Technology

Computer Vision and Information Technology
Advances and Applications

by K. V. Kale,S. C. Mehrotra,R.R. Manza

  • Publisher : I. K. International Pvt Ltd
  • Release : 2010-01-01
  • Pages : 1056
  • ISBN : 9380026951
  • Language : En, Es, Fr & De
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Spread in 133 articles divided in 20 sections the present treatises broadly discusses: Part 1: Image Processing Part 2: Radar and Satellite Image Processing Part 3: Image Filtering Part 4: Content Based Image Retrieval Part 5: Color Image Processing and Video Processing Part 6: Medical Image Processing Part 7: Biometric Part 8: Network Part 9: Mobile Computing Part 10: Pattern Recognition Part 11: Pattern Classification Part 12: Genetic Algorithm Part 13: Data Warehousing and Mining Part 14: Embedded System Part 15: Wavelet Part 16: Signal Processing Part 17: Neural Network Part 18: Nanotechnology and Quantum Computing Part 19: Image Analysis Part 20: Human Computer Interaction