Feature Extraction and Image Processing for Computer Vision

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  • Publisher : Academic Press
  • Release : 17 November 2019
  • ISBN : 9780128149775
  • Page : 650 pages
  • Rating : 4.5/5 from 103 voters

Download Feature Extraction and Image Processing for Computer Vision in PDF, Epub and Kindle

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

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Feature Extraction and Image Processing for Computer Vision

Feature Extraction and Image Processing for Computer Vision
  • Author : Mark Nixon,Alberto Aguado
  • Publisher : Academic Press
  • Release Date : 2019-11-17
  • ISBN : 9780128149775
GET THIS BOOKFeature Extraction and Image Processing for Computer Vision

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

Feature Extraction and Image Processing for Computer Vision

Feature Extraction and Image Processing for Computer Vision
  • Author : Mark Nixon
  • Publisher : Academic Press
  • Release Date : 2012-12-18
  • ISBN : 9780123978240
GET THIS BOOKFeature Extraction and Image Processing for Computer Vision

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

Feature Extraction and Image Processing for Computer Vision

Feature Extraction and Image Processing for Computer Vision
  • Author : Mark Nixon,Alberto S. Aguado
  • Publisher : Academic Press
  • Release Date : 2012-09-25
  • ISBN : 9780123965493
GET THIS BOOKFeature Extraction and Image Processing for Computer Vision

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

Feature Extraction and Image Processing

Feature Extraction and Image Processing
  • Author : Mark Nixon
  • Publisher : Elsevier
  • Release Date : 2013-10-22
  • ISBN : 9780080506258
GET THIS BOOKFeature Extraction and Image Processing

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

Handbook of Image Processing and Computer Vision

Handbook of Image Processing and Computer Vision
  • Author : Arcangelo Distante,Cosimo Distante
  • Publisher : Springer Nature
  • Release Date : 2020-05-28
  • ISBN : 9783030381486
GET THIS BOOKHandbook of Image Processing and Computer Vision

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. Volume 1 (From Energy to Image) examines the formation, properties, and enhancement of a

Deep Learning for Vision Systems

Deep Learning for Vision Systems
  • Author : Mohamed Elgendy
  • Publisher : Manning Publications
  • Release Date : 2020-11-10
  • ISBN : 9781617296192
GET THIS BOOKDeep Learning for Vision Systems

How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition. Summary Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more. Amazing new computer

Texture Feature Extraction Techniques for Image Recognition

Texture Feature Extraction Techniques for Image Recognition
  • Author : Jyotismita Chaki,Nilanjan Dey
  • Publisher : Springer Nature
  • Release Date : 2019-10-24
  • ISBN : 9789811508530
GET THIS BOOKTexture Feature Extraction Techniques for Image Recognition

The book describes various texture feature extraction approaches and texture analysis applications. It introduces and discusses the importance of texture features, and describes various types of texture features like statistical, structural, signal-processed and model-based. It also covers applications related to texture features, such as facial imaging. It is a valuable resource for machine vision researchers and practitioners in different application areas.

A Beginner’s Guide to Image Shape Feature Extraction Techniques

A Beginner’s Guide to Image Shape Feature Extraction Techniques
  • Author : Jyotismita Chaki,Nilanjan Dey
  • Publisher : CRC Press
  • Release Date : 2019-07-25
  • ISBN : 9781000034301
GET THIS BOOKA Beginner’s Guide to Image Shape Feature Extraction Techniques

This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification. Focussing on a shape feature extraction technique used in content-based image retrieval (CBIR), it explains different applications of image shape features in the field of content-based image retrieval. Showcasing useful applications and illustrating examples in many interdisciplinary fields, the present book is aimed at researchers and graduate students in electrical engineering, data science, computer science, medicine, and machine learning including medical physics

Content-Based Image Classification

Content-Based Image Classification
  • Author : Rik Das
  • Publisher : CRC Press
  • Release Date : 2020-12-22
  • ISBN : 9781000280715
GET THIS BOOKContent-Based Image Classification

Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to research with invaluable image data. Social Science Research Network has revealed that 65% of people are visual learners. Research data provided by Hyerle (2000) has clearly shown 90% of information in the human brain is visual. Thus, it is no wonder that visual information processing in the brain is 60,000 times faster than text-based information (3M Corporation, 2001). Recently, we have witnessed a significant surge in conversing with images

Image Processing, Computer Vision, and Pattern Recognition

Image Processing, Computer Vision, and Pattern Recognition
  • Author : Hamid R. Arabnia,Leonidas Deligiannidis,Fernando G. Tinetti
  • Publisher : 2019 Worldcomp Internation
  • Release Date : 2020-03-13
  • ISBN : 1601325061
GET THIS BOOKImage Processing, Computer Vision, and Pattern Recognition

Proceedings of the 2019 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'19) held July 29th - August 1st, 2019 in Las Vegas, Nevada.

Computer Vision and Image Processing

Computer Vision and Image Processing
  • Author : Manas Kamal Bhuyan
  • Publisher : CRC Press
  • Release Date : 2019-11-05
  • ISBN : 9781351248389
GET THIS BOOKComputer Vision and Image Processing

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

Handbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis, and Image Processing

Handbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis, and Image Processing
  • Author : Kamila, Narendra Kumar
  • Publisher : IGI Global
  • Release Date : 2015-11-30
  • ISBN : 9781466686557
GET THIS BOOKHandbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis, and Image Processing

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Local Image Descriptor: Modern Approaches

Local Image Descriptor: Modern Approaches
  • Author : Bin Fan,Zhenhua Wang,Fuchao Wu
  • Publisher : Springer
  • Release Date : 2016-01-04
  • ISBN : 9783662491737
GET THIS BOOKLocal Image Descriptor: Modern Approaches

This book covers a wide range of local image descriptors, from the classical ones to the state of the art, as well as the burgeoning research topics on this area. The goal of this effort is to let readers know what are the most popular and useful methods in the current, what are the advantages and the disadvantages of these methods, which kind of methods is best suitable for their problems or applications, and what is the future of this

Deep Learning for Computer Vision

Deep Learning for Computer Vision
  • Author : Jason Brownlee
  • Publisher : Machine Learning Mastery
  • Release Date : 2019-04-04
  • ISBN : 0987654321XXX
GET THIS BOOKDeep Learning for Computer Vision

Step-by-step tutorials on deep learning neural networks for computer vision in python with Keras.

Computer Vision – ECCV 2012

Computer Vision – ECCV 2012
  • Author : Andrew Fitzgibbon,Svetlana Lazebnik,Pietro Perona,Yoichi Sato,Cordelia Schmid
  • Publisher : Springer
  • Release Date : 2012-09-26
  • ISBN : 9783642337833
GET THIS BOOKComputer Vision – ECCV 2012

The seven-volume set comprising LNCS volumes 7572-7578 constitutes the refereed proceedings of the 12th European Conference on Computer Vision, ECCV 2012, held in Florence, Italy, in October 2012. The 408 revised papers presented were carefully reviewed and selected from 1437 submissions. The papers are organized in topical sections on geometry, 2D and 3D shapes, 3D reconstruction, visual recognition and classification, visual features and image matching, visual monitoring: action and activities, models, optimisation, learning, visual tracking and image registration, photometry: lighting and colour, and image