Review of local binary pattern operators in image feature extraction

With the substantial expansion of image information, image processing and computer vision have significant roles in several applications, including image classification, image segmentation, pattern recognition, and image retrieval. An important feature that has been applied in many image application...

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Main Authors: Hamad Khaleefah, Shihab, A. Mostafa, Salama, Mustapha, Aida, Nasrudin, Mohammad Faidzul
Format: Article
Language:en
Published: Institute of Advanced Engineering and Science 2020
Subjects:
Online Access:http://eprints.uthm.edu.my/6127/1/AJ%202020%20%28198%29.pdf
http://eprints.uthm.edu.my/6127/
https://dx.doi.org/10.11591/ijeecs.v19.i1.pp23-31
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author Hamad Khaleefah, Shihab
A. Mostafa, Salama
Mustapha, Aida
Nasrudin, Mohammad Faidzul
author_facet Hamad Khaleefah, Shihab
A. Mostafa, Salama
Mustapha, Aida
Nasrudin, Mohammad Faidzul
author_sort Hamad Khaleefah, Shihab
building UTHM Library
collection Institutional Repository
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
continent Asia
country Malaysia
description With the substantial expansion of image information, image processing and computer vision have significant roles in several applications, including image classification, image segmentation, pattern recognition, and image retrieval. An important feature that has been applied in many image applications is texture. Texture is the characteristic of a set of pixels that form an image. Therefore, analyzing texture has a significant impact on segmenting an image or detecting important portions of an image. This paper provides a review on LBP and its modifications. The aim of this review is to show the current trends for using, modifying and adapting LBP in the domain of image processing.
format Article
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institution Universiti Tun Hussein Onn Malaysia
language en
publishDate 2020
publisher Institute of Advanced Engineering and Science
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spelling my.uthm.eprints-61272022-01-26T08:33:17Z http://eprints.uthm.edu.my/6127/ Review of local binary pattern operators in image feature extraction Hamad Khaleefah, Shihab A. Mostafa, Salama Mustapha, Aida Nasrudin, Mohammad Faidzul TJ241-254.7 Machine construction (General) With the substantial expansion of image information, image processing and computer vision have significant roles in several applications, including image classification, image segmentation, pattern recognition, and image retrieval. An important feature that has been applied in many image applications is texture. Texture is the characteristic of a set of pixels that form an image. Therefore, analyzing texture has a significant impact on segmenting an image or detecting important portions of an image. This paper provides a review on LBP and its modifications. The aim of this review is to show the current trends for using, modifying and adapting LBP in the domain of image processing. Institute of Advanced Engineering and Science 2020 Article PeerReviewed text en http://eprints.uthm.edu.my/6127/1/AJ%202020%20%28198%29.pdf Hamad Khaleefah, Shihab and A. Mostafa, Salama and Mustapha, Aida and Nasrudin, Mohammad Faidzul (2020) Review of local binary pattern operators in image feature extraction. Indonesian Journal of Electrical Engineering and Computer Science, 19 (1). pp. 23-31. ISSN 2502-4752 https://dx.doi.org/10.11591/ijeecs.v19.i1.pp23-31
spellingShingle TJ241-254.7 Machine construction (General)
Hamad Khaleefah, Shihab
A. Mostafa, Salama
Mustapha, Aida
Nasrudin, Mohammad Faidzul
Review of local binary pattern operators in image feature extraction
title Review of local binary pattern operators in image feature extraction
title_full Review of local binary pattern operators in image feature extraction
title_fullStr Review of local binary pattern operators in image feature extraction
title_full_unstemmed Review of local binary pattern operators in image feature extraction
title_short Review of local binary pattern operators in image feature extraction
title_sort review of local binary pattern operators in image feature extraction
topic TJ241-254.7 Machine construction (General)
url http://eprints.uthm.edu.my/6127/1/AJ%202020%20%28198%29.pdf
http://eprints.uthm.edu.my/6127/
https://dx.doi.org/10.11591/ijeecs.v19.i1.pp23-31
url_provider http://eprints.uthm.edu.my/