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Feature Extraction Image Processing For Computer Vision

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Feature Extraction and Image Processing for Computer Vision

Feature Extraction and Image Processing for Computer Vision Book
Author : Mark Nixon,Alberto Aguado
Publisher : Academic Press
Release : 2019-11-17
ISBN : 0128149779
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : Mark Nixon
Publisher : Elsevier
Release : 2013-10-22
ISBN : 0080506259
Language : En, Es, Fr & De

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Book Description :

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

Digital Image Processing and Analysis

Digital Image Processing and Analysis Book
Author : Scott E Umbaugh
Publisher : CRC Press
Release : 2010-11-19
ISBN : 143980205X
Language : En, Es, Fr & De

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Book Description :

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.

Color in Computer Vision

Color in Computer Vision Book
Author : Theo Gevers,Arjan Gijsenij,Joost van de Weijer,Jan-Mark Geusebroek
Publisher : John Wiley & Sons
Release : 2012-08-14
ISBN : 1118350065
Language : En, Es, Fr & De

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Book Description :

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.

Progress In Image Analysis And Processing Iii Proceedings Of The 7th International Conference On Image Analysis And Processing

Progress In Image Analysis And Processing Iii   Proceedings Of The 7th International Conference On Image Analysis And Processing Book
Author : Impedovo Sebastiano
Publisher : World Scientific
Release : 1994-04-06
ISBN : 9814552437
Language : En, Es, Fr & De

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Book Description :

This book provides a brief overview of noninvasive vascular tests used to diagnose and quantify vascular problems. Also, it reports on tests concerning prevention and screening.The book is the result of the work of leading international experts in vascular investigations. It will be useful for all general practitioners, vascular technologists, and both physicians and surgeons, giving an introductory overview of the field.

Proceedings of 2nd International Conference on Computer Vision Image Processing

Proceedings of 2nd International Conference on Computer Vision   Image Processing Book
Author : Bidyut B. Chaudhuri,Mohan S. Kankanhalli,Balasubramanian Raman
Publisher : Springer
Release : 2018-04-11
ISBN : 9811078955
Language : En, Es, Fr & De

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Book Description :

The book provides insights into the Second International Conference on Computer Vision & Image Processing (CVIP-2017) organized by Department of Computer Science and Engineering of Indian Institute of Technology Roorkee. The book presents technological progress and research outcomes in the area of image processing and computer vision. The topics covered in this book are image/video processing and analysis; image/video formation and display; image/video filtering, restoration, enhancement and super-resolution; image/video coding and transmission; image/video storage, retrieval and authentication; image/video quality; transform-based and multi-resolution image/video analysis; biological and perceptual models for image/video processing; machine learning in image/video analysis; probability and uncertainty handling for image/video processing; motion and tracking; segmentation and recognition; shape, structure and stereo.

Feature Extraction Image Processing 2nd Edition

Feature Extraction   Image Processing  2nd Edition Book
Author : Mark Nixon,Alberto Aguado
Publisher : Unknown
Release : 2008
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

* 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.

Color in Computer Vision

Color in Computer Vision Book
Author : Theo Gevers,Arjan Gijsenij,Joost van de Weijer,Jan-Mark Geusebroek
Publisher : John Wiley & Sons
Release : 2012-09-04
ISBN : 9780470890844
Language : En, Es, Fr & De

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Book Description :

Color is an important aspect of vision. However, most computer vision applications ignore color in their methods. This book addresses the use and application of color in the field of computer vision. First, the basics of color vision and the models that are used throughout the book are described. Then, photometric invariance, i.e. invariance to distruptive imaging factors like shadow/shading and altering color of the light source, is discussed. After that, the detection and description of color image features is explained, and the book ends with some applications in which the use of color in computer vision is shown.

Image Processing Concepts Methodologies Tools and Applications

Image Processing  Concepts  Methodologies  Tools  and Applications Book
Author : Management Association, Information Resources
Publisher : IGI Global
Release : 2013-05-31
ISBN : 1466639954
Language : En, Es, Fr & De

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Book Description :

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.

Image Registration

Image Registration Book
Author : A. Ardeshir Goshtasby
Publisher : Springer Science & Business Media
Release : 2012-01-13
ISBN : 144712457X
Language : En, Es, Fr & De

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Book Description :

This book presents a thorough and detailed guide to image registration, outlining the principles and reviewing state-of-the-art tools and methods. The book begins by identifying the components of a general image registration system, and then describes the design of each component using various image analysis tools. The text reviews a vast array of tools and methods, not only describing the principles behind each tool and method, but also measuring and comparing their performances using synthetic and real data. Features: discusses similarity/dissimilarity measures, point detectors, feature extraction/selection and homogeneous/heterogeneous descriptors; examines robust estimators, point pattern matching algorithms, transformation functions, and image resampling and blending; covers principal axes methods, hierarchical methods, optimization-based methods, edge-based methods, model-based methods, and adaptive methods; includes a glossary, an extensive list of references, and an appendix on PCA.

Handbook of Image Processing and Computer Vision

Handbook of Image Processing and Computer Vision Book
Author : Arcangelo Distante,Cosimo Distante
Publisher : Springer
Release : 2020-10-16
ISBN : 9783030425074
Language : En, Es, Fr & De

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Book Description :

Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Topics and features: describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy; covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal; discusses the information recorded in a digital image, and the image processing algorithms that can improve the visual qualities of the image; reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration; presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest; examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration; provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks. This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence.

Emerging Trends in Image Processing Computer Vision and Pattern Recognition

Emerging Trends in Image Processing  Computer Vision and Pattern Recognition Book
Author : Leonidas Deligiannidis,Hamid R Arabnia
Publisher : Morgan Kaufmann
Release : 2014-12-09
ISBN : 012802092X
Language : En, Es, Fr & De

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Book Description :

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.

Applied Computer Vision and Image Processing

Applied Computer Vision and Image Processing Book
Author : Brijesh Iyer,A. M. Rajurkar,Venkat Gudivada
Publisher : Springer Nature
Release : 2020-08-29
ISBN : 9811540292
Language : En, Es, Fr & De

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Book Description :

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.

Handbook Of Pattern Recognition And Computer Vision 5th Edition

Handbook Of Pattern Recognition And Computer Vision  5th Edition  Book
Author : Chi Hau Chen
Publisher : World Scientific
Release : 2015-12-15
ISBN : 9814656542
Language : En, Es, Fr & De

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Book Description :

Pattern recognition, image processing and computer vision are closely linked areas which have seen enormous progress in the last fifty years. Their applications in our daily life, commerce and industry are growing even more rapidly than theoretical advances. Hence, the need for a new handbook in pattern recognition and computer vision every five or six years as envisioned in 1990 is fully justified and valid.The book consists of three parts: (1) Pattern recognition methods and applications; (2) Computer vision and image processing; and (3) Systems, architecture and technology. This book is intended to capture the major developments in pattern recognition and computer vision though it is impossible to cover all topics.The chapters are written by experts from many countries, fully reflecting the strong international research interests in the areas. This fifth edition will complement the previous four editions of the book.

Deep Learning for Image Processing Applications

Deep Learning for Image Processing Applications Book
Author : D.J. Hemanth,V. Vieira Estrela
Publisher : IOS Press
Release : 2017-12
ISBN : 1614998221
Language : En, Es, Fr & De

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Book Description :

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.

Computer Vision and Image Processing

Computer Vision and Image Processing Book
Author : Mark S. Nixon
Publisher : Hodder Education
Release : 2000
ISBN : 9780340761113
Language : En, Es, Fr & De

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Book Description :

Image processing and computer vision is currently a hot topic with undergraduates and professionals alike. 'Computer Vision and Image Processing' is the first book to provide a discussion of how techniques in this field can be implemented together coupled with a deeper presentation of the analytical material. The additional working meta-level software on the web not only allows students to see the techniques described in the book actually working, but also lets them explore areas that they are unfamiliar with. Focusing on feature extraction while also encompassing issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the author has a clear and coherent approach that will appeal to all those interested in feature extraction.

Genetic and Evolutionary Feature Extraction for Autonomous Road Following

Genetic and Evolutionary Feature Extraction for Autonomous Road Following Book
Author : Jayandra Pokharel
Publisher : Unknown
Release : 2014
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Image Processing and computer vision has always been a major component in the field of robotics and machine learning. The information extracted from image processing varies widely depending upon the nature of tasks to be performed by the robot. The goal of this research is to enable a robot to find a path for autonomous trail following. In the research an evolutionary approach has been used to determine the minimal regions in input images, which are discriminating enough for the robot to distinguish between path and non-path. Image processing is computationally intensive in nature, requiring significant processing time and main memory. So, any reduction in area of the image to be processed for decision making is always advantageous. In this research two sets of experiments are done to compare the effectiveness of evolved regions for image processing against processing the whole image. In the first set the robot processed the entire frame from the camera to make decisions for driving on a trail by avoiding non-trail. In the second set image processing is done on only the evolved region of the frame to make the decision. It was found that image processing over the evolved region covering less than 30\% of the captured image can give results comparable to processing the whole image.

Progress in Pattern Recognition Image Analysis Computer Vision and Applications

Progress in Pattern Recognition  Image Analysis  Computer Vision  and Applications Book
Author : Eduardo Bayro-Corrochano,Edwin Hancock
Publisher : Springer
Release : 2014-10-23
ISBN : 3319125680
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 19th Iberoamerican Congress on Pattern Recognition, CIARP 2014, held in Puerto Vallarta, Jalisco, Mexico, in November 2014. The 115 papers presented were carefully reviewed and selected from 160 submissions. The papers are organized in topical sections on image coding, processing and analysis; segmentation, analysis of shape and texture; analysis of signal, speech and language; document processing and recognition; feature extraction, clustering and classification; pattern recognition and machine learning; neural networks for pattern recognition; computer vision and robot vision; video segmentation and tracking.

Image Processing and Computer Vision in IOS

Image Processing and Computer Vision in IOS Book
Author : Oge Marques
Publisher : Springer Nature
Release : 2020
ISBN : 3030540324
Language : En, Es, Fr & De

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Book Description :

This book presents the fundamentals of mobile visual computing in iOS development and provides directions for developers and researchers interested in developing iOS applications with image processing and computer vision capabilities. Presenting a technical overview of some of the tools, languages, libraries, frameworks, and APIs currently available for developing iOS applications Image Processing and Computer Vision in iOS reveals the rich capabilities in image processing and computer vision. Its main goal is to provide a road map to what is currently available, and a path to successfully tackle this rather complex but highly rewarding task. .