Performance analysis of ANN based YCbCr skin detection algorithm

Performance analysis of ANN based YCbCr skin detection algorithm

system. The performance analysis of artificial neural network based –YcbCr skin recognition and three other techniques is evaluated in this work. Results obtained show that the use of YCbCr color model performs better than RGB colour model and the use of artificial neural network further improves...

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Main Authors: Aibinu, Abiodun Musa, Shafie, Amir Akramin, Salami, Momoh Jimoh Emiyoka
Format: Article
Language:English
Published: Elsevier 2012
Subjects:
TK7885 Computer engineering
Online Access:http://irep.iium.edu.my/27219/
http://irep.iium.edu.my/27219/
http://irep.iium.edu.my/27219/1/1-s2.0-S1877705812026999-main.pdf
id iium-27219
recordtype eprints
spelling iium-272192012-12-04T00:22:17Z http://irep.iium.edu.my/27219/ Performance analysis of ANN based YCbCr skin detection algorithm Aibinu, Abiodun Musa Shafie, Amir Akramin Salami, Momoh Jimoh Emiyoka TK7885 Computer engineering system. The performance analysis of artificial neural network based –YcbCr skin recognition and three other techniques is evaluated in this work. Results obtained show that the use of YCbCr color model performs better than RGB colour model and the use of artificial neural network further improves the accuracy of the system. © 2012 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Centre of Humanoid Robots and Bio-Sensor (HuRoBs), Faculty of Mechanical Engineering, Universiti Teknologi MARA. Elsevier 2012 Article PeerReviewed application/pdf en http://irep.iium.edu.my/27219/1/1-s2.0-S1877705812026999-main.pdf Aibinu, Abiodun Musa and Shafie, Amir Akramin and Salami, Momoh Jimoh Emiyoka (2012) Performance analysis of ANN based YCbCr skin detection algorithm. Procedia Engineering, 41. pp. 1183-1189. ISSN 1877-7058 http://www.sciencedirect.com/science/article/pii/S1877705812026999
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TK7885 Computer engineering
spellingShingle TK7885 Computer engineering
Aibinu, Abiodun Musa
Shafie, Amir Akramin
Salami, Momoh Jimoh Emiyoka
Performance analysis of ANN based YCbCr skin detection algorithm
description system. The performance analysis of artificial neural network based –YcbCr skin recognition and three other techniques is evaluated in this work. Results obtained show that the use of YCbCr color model performs better than RGB colour model and the use of artificial neural network further improves the accuracy of the system. © 2012 The Authors. Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Centre of Humanoid Robots and Bio-Sensor (HuRoBs), Faculty of Mechanical Engineering, Universiti Teknologi MARA.
format Article
author Aibinu, Abiodun Musa
Shafie, Amir Akramin
Salami, Momoh Jimoh Emiyoka
author_facet Aibinu, Abiodun Musa
Shafie, Amir Akramin
Salami, Momoh Jimoh Emiyoka
author_sort Aibinu, Abiodun Musa
title Performance analysis of ANN based YCbCr skin detection algorithm
title_short Performance analysis of ANN based YCbCr skin detection algorithm
title_full Performance analysis of ANN based YCbCr skin detection algorithm
title_fullStr Performance analysis of ANN based YCbCr skin detection algorithm
title_full_unstemmed Performance analysis of ANN based YCbCr skin detection algorithm
title_sort performance analysis of ann based ycbcr skin detection algorithm
publisher Elsevier
publishDate 2012
url http://irep.iium.edu.my/27219/
http://irep.iium.edu.my/27219/
http://irep.iium.edu.my/27219/1/1-s2.0-S1877705812026999-main.pdf
first_indexed 2023-09-18T20:40:29Z
last_indexed 2023-09-18T20:40:29Z
_version_ 1777409331798474752

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