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Detection and Description of Image Features: An Introduction
Image and Video Processing Lab, Faculty, South Valley University.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-3800-0757
2016 (English)In: Image Feature Detectors and Descriptors: Foundations and Applications, Encyclopedia of Global Archaeology/Springer Verlag, 2016, p. 1-8Chapter in book (Refereed)
Abstract [en]

Detection and description of image features play a vital role in various application domains such as image processing, computer vision, pattern recognition, and machine learning. There are two type of features that can be extracted from an image content; namely global and local features. Global features describe the image as a whole and can be interpreted as a particular property of the image involving all pixels; while, the local features aim to detect keypoints within the image and describe regions around these keypoints. After extracting the features and their descriptors from images, matching of common structures between images (i.e., features matching) is the next step for these applications. This chapter presents a general and brief introduction to topics of feature extraction for a variety of application domains. Its main aim is to provide short descriptions of the chapters included in this book volume.

Place, publisher, year, edition, pages
Encyclopedia of Global Archaeology/Springer Verlag, 2016. p. 1-8
Series
Studies in Computational Intelligence, ISSN 1860-949X ; 630
National Category
Information Systems, Social aspects
Research subject
Information systems
Identifiers
URN: urn:nbn:se:ltu:diva-21211DOI: 10.1007/978-3-319-28854-3_1Scopus ID: 2-s2.0-84959363768Local ID: c540288e-6afc-4ef7-8e8b-a94a9653a78fISBN: 978-3-319-28852-9 (print)ISBN: 978-3-319-28854-3 (electronic)OAI: oai:DiVA.org:ltu-21211DiVA, id: diva2:994256
Note
Godkänd; 2016; 20160224 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Awad, Ali Ismail

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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