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Feature extraction and image processing for computer vision: 4th Edition

Feature extraction and image processing for computer vision: 4th Edition
Feature extraction and image processing for computer vision: 4th Edition
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.
Feature extraction, computer vision
Elsevier
Nixon, Mark
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Aguado, Alberto
5be923ce-29f7-4571-b76f-659e4580844c
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Aguado, Alberto
5be923ce-29f7-4571-b76f-659e4580844c

Nixon, Mark and Aguado, Alberto (2019) Feature extraction and image processing for computer vision: 4th Edition , 4 ed. UK. Elsevier, 625pp.

Record type: Book

Abstract

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.

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More information

Published date: 17 November 2019
Keywords: Feature extraction, computer vision

Identifiers

Local EPrints ID: 453009
URI: http://eprints.soton.ac.uk/id/eprint/453009
PURE UUID: 4c720226-c2c1-4555-8517-108459822342
ORCID for Mark Nixon: ORCID iD orcid.org/0000-0002-9174-5934

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Date deposited: 07 Jan 2022 14:23
Last modified: 28 Apr 2022 01:32

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Contributors

Author: Mark Nixon ORCID iD
Author: Alberto Aguado

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