Feature Extraction and Image Processing for Computer Vision

Feature Extraction and Image Processing for Computer Vision

Author: Mark Nixon

Publisher: Academic Press

ISBN: 9780123965493

Category: Computers

Page: 629

View: 215

Download Now
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
Feature Extraction and Image Processing for Computer Vision
Language: en
Pages: 629
Authors: Mark Nixon, Alberto S. Aguado
Categories: Computers
Type: BOOK - Published: 2012-09-25 - Publisher: Academic Press

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,
Feature Extraction and Image Processing
Language: en
Pages: 366
Authors: Mark S. Nixon, Alberto S. Aguado
Categories: Computers
Type: BOOK - Published: 2002 - Publisher: Newnes

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
Feature Extraction and Image Processing
Language: en
Pages: 350
Authors: Mark Nixon
Categories: Computers
Type: BOOK - Published: 2013-10-22 - Publisher: Elsevier

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
Feature Extraction and Image Processing for Computer Vision
Language: en
Pages: 650
Authors: Mark Nixon, Alberto Aguado
Categories: Computers
Type: BOOK - Published: 2019-11-17 - Publisher: Academic Press

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
A Beginner’s Guide to Image Shape Feature Extraction Techniques
Language: en
Pages: 106
Authors: Jyotismita Chaki, Nilanjan Dey
Categories: Computers
Type: BOOK - Published: 2019-07-25 - Publisher: CRC Press

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