Multi-Scale Colour Completed Local Binary Patterns for Scene and Event Sport Image Categorisation

The Local Binary Pattern (LBP) texture descriptor and some of its variant descriptors have been successfully used for texture classification and for a few other tasks such as face recognition, facial expression, and texture segmentation. However, these descriptors have been barely used for image cat...

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Main Authors:	Rassem, Taha H., Bee, Ee Khoo, Makbol, Nasrin M., Al-Sewari, Abdul Rahman Ahmed Mohammed
Format:	Article
Language:	English
Published:	International Association of Engineers (IAENG) 2017
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/17765/ http://umpir.ump.edu.my/id/eprint/17765/ http://umpir.ump.edu.my/id/eprint/17765/1/IJCS_44_2_09.pdf

id	ump-17765
recordtype	eprints
spelling	ump-177652018-03-29T07:56:00Z http://umpir.ump.edu.my/id/eprint/17765/ Multi-Scale Colour Completed Local Binary Patterns for Scene and Event Sport Image Categorisation Rassem, Taha H. Bee, Ee Khoo Makbol, Nasrin M. Al-Sewari, Abdul Rahman Ahmed Mohammed QA75 Electronic computers. Computer science The Local Binary Pattern (LBP) texture descriptor and some of its variant descriptors have been successfully used for texture classification and for a few other tasks such as face recognition, facial expression, and texture segmentation. However, these descriptors have been barely used for image categorisation because their calculations are based on the gray image and they are only invariant to monotonic light variations on the gray level. These descriptors ignore colour information despite their key role in distinguishing the objects and the natural scenes. In this paper, we enhance the Completed Local Binary Pattern (CLBP), an LBP variant with an impressive performance on texture classification. We propose five multiscale colour CLBP (CCLBP) descriptors by incorporating five different colour information into the original CLBP. By using the Oliva and Torralba (OT8) and Event sport datasets, our results attest to the superiority of the proposed CCLBP descriptors over the original CLBP in terms of image categorisation. International Association of Engineers (IAENG) 2017-05-24 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/17765/1/IJCS_44_2_09.pdf Rassem, Taha H. and Bee, Ee Khoo and Makbol, Nasrin M. and Al-Sewari, Abdul Rahman Ahmed Mohammed (2017) Multi-Scale Colour Completed Local Binary Patterns for Scene and Event Sport Image Categorisation. IAENG International Journal of Computer Science, , 44 (2). pp. 197-211. ISSN 1819-9224 http://www.iaeng.org/IJCS/issues_v44/issue_2/IJCS_44_2_09.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Rassem, Taha H. Bee, Ee Khoo Makbol, Nasrin M. Al-Sewari, Abdul Rahman Ahmed Mohammed Multi-Scale Colour Completed Local Binary Patterns for Scene and Event Sport Image Categorisation
description	The Local Binary Pattern (LBP) texture descriptor and some of its variant descriptors have been successfully used for texture classification and for a few other tasks such as face recognition, facial expression, and texture segmentation. However, these descriptors have been barely used for image categorisation because their calculations are based on the gray image and they are only invariant to monotonic light variations on the gray level. These descriptors ignore colour information despite their key role in distinguishing the objects and the natural scenes. In this paper, we enhance the Completed Local Binary Pattern (CLBP), an LBP variant with an impressive performance on texture classification. We propose five multiscale colour CLBP (CCLBP) descriptors by incorporating five different colour information into the original CLBP. By using the Oliva and Torralba (OT8) and Event sport datasets, our results attest to the superiority of the proposed CCLBP descriptors over the original CLBP in terms of image categorisation.
format	Article
author	Rassem, Taha H. Bee, Ee Khoo Makbol, Nasrin M. Al-Sewari, Abdul Rahman Ahmed Mohammed
author_facet	Rassem, Taha H. Bee, Ee Khoo Makbol, Nasrin M. Al-Sewari, Abdul Rahman Ahmed Mohammed
author_sort	Rassem, Taha H.
title	Multi-Scale Colour Completed Local Binary Patterns for Scene and Event Sport Image Categorisation
title_short	Multi-Scale Colour Completed Local Binary Patterns for Scene and Event Sport Image Categorisation
title_full	Multi-Scale Colour Completed Local Binary Patterns for Scene and Event Sport Image Categorisation
title_fullStr	Multi-Scale Colour Completed Local Binary Patterns for Scene and Event Sport Image Categorisation
title_full_unstemmed	Multi-Scale Colour Completed Local Binary Patterns for Scene and Event Sport Image Categorisation
title_sort	multi-scale colour completed local binary patterns for scene and event sport image categorisation
publisher	International Association of Engineers (IAENG)
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/17765/ http://umpir.ump.edu.my/id/eprint/17765/ http://umpir.ump.edu.my/id/eprint/17765/1/IJCS_44_2_09.pdf
first_indexed	2023-09-18T22:24:44Z
last_indexed	2023-09-18T22:24:44Z
_version_	1777415890327830528

Multi-Scale Colour Completed Local Binary Patterns for Scene and Event Sport Image Categorisation

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