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Design of an intelligent wood recognition system based on local binary pattern

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Main Author: Ashghani, Maryam Nasirzadeh
Format: Thesis
Published: 2010
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/16992/
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id my.utm.16992
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spelling my.utm.169922012-07-17T07:22:25Z http://eprints.utm.my/id/eprint/16992/ Design of an intelligent wood recognition system based on local binary pattern Ashghani, Maryam Nasirzadeh TK Electrical engineering. Electronics Nuclear engineering 2010 Thesis NonPeerReviewed Ashghani, Maryam Nasirzadeh (2010) Design of an intelligent wood recognition system based on local binary pattern. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering, Faculty of Electrical Engineering.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Ashghani, Maryam Nasirzadeh
Design of an intelligent wood recognition system based on local binary pattern
description
format Thesis
author Ashghani, Maryam Nasirzadeh
author_facet Ashghani, Maryam Nasirzadeh
author_sort Ashghani, Maryam Nasirzadeh
title Design of an intelligent wood recognition system based on local binary pattern
title_short Design of an intelligent wood recognition system based on local binary pattern
title_full Design of an intelligent wood recognition system based on local binary pattern
title_fullStr Design of an intelligent wood recognition system based on local binary pattern
title_full_unstemmed Design of an intelligent wood recognition system based on local binary pattern
title_sort design of an intelligent wood recognition system based on local binary pattern
publishDate 2010
url http://eprints.utm.my/id/eprint/16992/
_version_ 1643646697304227840
score 13.211869

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