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Genetic algorithm fine tuning of Support Vector Data Descriptor (SVDD) for classification of monocotyledon and dicotyledon weeds

Weed recognition using image processing has been performed and improved in various papers. In this paper, weed seedlings were discriminated using Support Vector Data Descriptor (SVDD) to identify monocotyledon weeds from mixture of monocotyledon and dicotyledon weeds. The feature selection and param...

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Main Authors: Wong, Wei Kitt, Muralindran Mariappan, Chekima Ali, Khoo, Brendan, Manimehala Nadarajan
Format: Article
Language:English
Published: ER Publications 2014
Subjects:
QK Botany
Online Access:https://eprints.ums.edu.my/id/eprint/20215/1/Genetic%20algorithm%20fine%20tuning%20of%20Support%20Vector%20Data%20Descriptor.pdf
https://eprints.ums.edu.my/id/eprint/20215/
https://pdfs.semanticscholar.org/a8e3/f921ef7717f20b1131bcff0a138afcb519c9.pdf
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spelling my.ums.eprints.202152018-06-20T00:23:44Z https://eprints.ums.edu.my/id/eprint/20215/ Genetic algorithm fine tuning of Support Vector Data Descriptor (SVDD) for classification of monocotyledon and dicotyledon weeds Wong, Wei Kitt Muralindran Mariappan Chekima Ali Khoo, Brendan Manimehala Nadarajan QK Botany Weed recognition using image processing has been performed and improved in various papers. In this paper, weed seedlings were discriminated using Support Vector Data Descriptor (SVDD) to identify monocotyledon weeds from mixture of monocotyledon and dicotyledon weeds. The feature selection and parameter fine tuning were performed using genetic Algorithm (GA). The resulting SVDD configurations were tested using 200 image samples. The best configurations gave an average of 95% recognition rate. ER Publications 2014 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/20215/1/Genetic%20algorithm%20fine%20tuning%20of%20Support%20Vector%20Data%20Descriptor.pdf Wong, Wei Kitt and Muralindran Mariappan and Chekima Ali and Khoo, Brendan and Manimehala Nadarajan (2014) Genetic algorithm fine tuning of Support Vector Data Descriptor (SVDD) for classification of monocotyledon and dicotyledon weeds. International Journal of Enhanced Research in Science Technology & Engineering, 3 (8). pp. 201-205. ISSN 2319-7463 https://pdfs.semanticscholar.org/a8e3/f921ef7717f20b1131bcff0a138afcb519c9.pdf
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic QK Botany
spellingShingle QK Botany
Wong, Wei Kitt
Muralindran Mariappan
Chekima Ali
Khoo, Brendan
Manimehala Nadarajan
Genetic algorithm fine tuning of Support Vector Data Descriptor (SVDD) for classification of monocotyledon and dicotyledon weeds
description Weed recognition using image processing has been performed and improved in various papers. In this paper, weed seedlings were discriminated using Support Vector Data Descriptor (SVDD) to identify monocotyledon weeds from mixture of monocotyledon and dicotyledon weeds. The feature selection and parameter fine tuning were performed using genetic Algorithm (GA). The resulting SVDD configurations were tested using 200 image samples. The best configurations gave an average of 95% recognition rate.
format Article
author Wong, Wei Kitt
Muralindran Mariappan
Chekima Ali
Khoo, Brendan
Manimehala Nadarajan
author_facet Wong, Wei Kitt
Muralindran Mariappan
Chekima Ali
Khoo, Brendan
Manimehala Nadarajan
author_sort Wong, Wei Kitt
title Genetic algorithm fine tuning of Support Vector Data Descriptor (SVDD) for classification of monocotyledon and dicotyledon weeds
title_short Genetic algorithm fine tuning of Support Vector Data Descriptor (SVDD) for classification of monocotyledon and dicotyledon weeds
title_full Genetic algorithm fine tuning of Support Vector Data Descriptor (SVDD) for classification of monocotyledon and dicotyledon weeds
title_fullStr Genetic algorithm fine tuning of Support Vector Data Descriptor (SVDD) for classification of monocotyledon and dicotyledon weeds
title_full_unstemmed Genetic algorithm fine tuning of Support Vector Data Descriptor (SVDD) for classification of monocotyledon and dicotyledon weeds
title_sort genetic algorithm fine tuning of support vector data descriptor (svdd) for classification of monocotyledon and dicotyledon weeds
publisher ER Publications
publishDate 2014
url https://eprints.ums.edu.my/id/eprint/20215/1/Genetic%20algorithm%20fine%20tuning%20of%20Support%20Vector%20Data%20Descriptor.pdf
https://eprints.ums.edu.my/id/eprint/20215/
https://pdfs.semanticscholar.org/a8e3/f921ef7717f20b1131bcff0a138afcb519c9.pdf
_version_ 1760229685329920000
score 13.211869

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