Colour texture image classification using colour completed local binary pattern (CCLBP)

Colour texture image classification using colour completed local binary pattern (CCLBP)

Local Binary Pattern (LBP) descriptor is being used successfully for the classification of textures. Also, it is been used for other tasks such as facial expression, face recognition and texture segmentation. On the other hand, these descriptors are barely used for image categorization due to their...

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Bibliographic Details
Main Author: Al Aidaros, Hussein Ali Hasan
Format: Undergraduates Project Papers
Language:English
Published: 2019
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/26531/
http://umpir.ump.edu.my/id/eprint/26531/
http://umpir.ump.edu.my/id/eprint/26531/1/Colour%20texture%20image%20classification%20using%20colour%20completed%20local%20binary%20pattern.pdf
id ump-26531
recordtype eprints
spelling ump-265312019-11-22T03:23:43Z http://umpir.ump.edu.my/id/eprint/26531/ Colour texture image classification using colour completed local binary pattern (CCLBP) Al Aidaros, Hussein Ali Hasan QA75 Electronic computers. Computer science Local Binary Pattern (LBP) descriptor is being used successfully for the classification of textures. Also, it is been used for other tasks such as facial expression, face recognition and texture segmentation. On the other hand, these descriptors are barely used for image categorization due to their calculations which are depend on the gray image and they are invariant to monotonic light variations on the gray level. Despite the key role in distinctive the objects of these descriptors, they ignore color information. In this project, Completed Local Binary Pattern (CLBP) will be enhanced and two colour CLBP descriptors are proposed which RGB_CCLBP and HSV_CCLBP. Moreover, the datasets that have been used in this project are KTH-TIPS, KTH-TIPS 2A and Outex_TC_00013 datasets. The proposed method shows promising results despite the limitations of it. 2019-05 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26531/1/Colour%20texture%20image%20classification%20using%20colour%20completed%20local%20binary%20pattern.pdf Al Aidaros, Hussein Ali Hasan (2019) Colour texture image classification using colour completed local binary pattern (CCLBP). Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. http://fypro.ump.edu.my/ethesis/index.php
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
Al Aidaros, Hussein Ali Hasan
Colour texture image classification using colour completed local binary pattern (CCLBP)
description Local Binary Pattern (LBP) descriptor is being used successfully for the classification of textures. Also, it is been used for other tasks such as facial expression, face recognition and texture segmentation. On the other hand, these descriptors are barely used for image categorization due to their calculations which are depend on the gray image and they are invariant to monotonic light variations on the gray level. Despite the key role in distinctive the objects of these descriptors, they ignore color information. In this project, Completed Local Binary Pattern (CLBP) will be enhanced and two colour CLBP descriptors are proposed which RGB_CCLBP and HSV_CCLBP. Moreover, the datasets that have been used in this project are KTH-TIPS, KTH-TIPS 2A and Outex_TC_00013 datasets. The proposed method shows promising results despite the limitations of it.
format Undergraduates Project Papers
author Al Aidaros, Hussein Ali Hasan
author_facet Al Aidaros, Hussein Ali Hasan
author_sort Al Aidaros, Hussein Ali Hasan
title Colour texture image classification using colour completed local binary pattern (CCLBP)
title_short Colour texture image classification using colour completed local binary pattern (CCLBP)
title_full Colour texture image classification using colour completed local binary pattern (CCLBP)
title_fullStr Colour texture image classification using colour completed local binary pattern (CCLBP)
title_full_unstemmed Colour texture image classification using colour completed local binary pattern (CCLBP)
title_sort colour texture image classification using colour completed local binary pattern (cclbp)
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/26531/
http://umpir.ump.edu.my/id/eprint/26531/
http://umpir.ump.edu.my/id/eprint/26531/1/Colour%20texture%20image%20classification%20using%20colour%20completed%20local%20binary%20pattern.pdf
first_indexed 2023-09-18T22:41:23Z
last_indexed 2023-09-18T22:41:23Z
_version_ 1777416937989472256

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