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
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Aguado, Alberto
5be923ce-29f7-4571-b76f-659e4580844c
17 November 2019
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.
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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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
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Date deposited: 07 Jan 2022 14:23
Last modified: 17 Mar 2024 02:33
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Author:
Alberto Aguado
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