Vision based entomology – how to effectively exploit color and shape features

Entomology has been deeply rooted in various cultures since prehistoric times for the purpose of agriculture. Nowadays, many scientists are interested in the field of biodiversity in order to maintain the diversity of species within our ecosystem. Out of 1.3 million known species on this earth, ins...

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Main Authors:	Hassan, Siti Noorul Asiah, Abdul Rahman, Nur Nadiah Syakira, Htike@Muhammad Yusof, Zaw Zaw, Shoon , Lei Win
Format:	Article
Language:	English
Published:	AIRCC Publishing Corporation 2014
Subjects:	Q Science (General)
Online Access:	http://irep.iium.edu.my/37778/ http://irep.iium.edu.my/37778/ http://irep.iium.edu.my/37778/ http://irep.iium.edu.my/37778/1/4214cseij01.pdf

id	iium-37778
recordtype	eprints
spelling	iium-377782018-06-20T01:20:57Z http://irep.iium.edu.my/37778/ Vision based entomology – how to effectively exploit color and shape features Hassan, Siti Noorul Asiah Abdul Rahman, Nur Nadiah Syakira Htike@Muhammad Yusof, Zaw Zaw Shoon , Lei Win Q Science (General) Entomology has been deeply rooted in various cultures since prehistoric times for the purpose of agriculture. Nowadays, many scientists are interested in the field of biodiversity in order to maintain the diversity of species within our ecosystem. Out of 1.3 million known species on this earth, insects account for more than two thirds of these known species. Since 400 million years ago, there have been various kinds of interactions between humans and insects. There have been several attempts to create a method to perform insect identification accurately. Great knowledge and experience on entomology are required for accurate insect identification. Automation of insect identification is required because there is a shortage of skilled entomologists. We propose an automatic insect identification framework that can identify grasshoppers and butterflies from colored images. Two classes of insects are chosen for a proof-of-concept. Classification is achieved by manipulating insects’ color and their shape feature since each class of sample case has different color and distinctive body shapes. The proposed insect identification process starts by extracting features from samples and splitting them into two training sets. One training emphasizes on computing RGB features while the other one is normalized to estimate the area of binary color that signifies the shape of the insect. SVM classifier is used to train the data obtained. Final decision of the classifier combines the result of these two features to determine which class an unknown instance belong to. The preliminary results demonstrate the efficacy and efficiency of our two-step automatic insect identification approach and motivate us to extend this framework to identify a variety of other species of insects. AIRCC Publishing Corporation 2014-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/37778/1/4214cseij01.pdf Hassan, Siti Noorul Asiah and Abdul Rahman, Nur Nadiah Syakira and Htike@Muhammad Yusof, Zaw Zaw and Shoon , Lei Win (2014) Vision based entomology – how to effectively exploit color and shape features. Computer Science & Engineering: An Introduction Journal (CSEIJ), 4 (2). pp. 1-12. ISSN 2231 - 329X(O), 2231 - 3583(P) http://airccse.org/journal/cseij/current2014.html 10.5121/cseij.2014.4201
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	Q Science (General)
spellingShingle	Q Science (General) Hassan, Siti Noorul Asiah Abdul Rahman, Nur Nadiah Syakira Htike@Muhammad Yusof, Zaw Zaw Shoon , Lei Win Vision based entomology – how to effectively exploit color and shape features
description	Entomology has been deeply rooted in various cultures since prehistoric times for the purpose of agriculture. Nowadays, many scientists are interested in the field of biodiversity in order to maintain the diversity of species within our ecosystem. Out of 1.3 million known species on this earth, insects account for more than two thirds of these known species. Since 400 million years ago, there have been various kinds of interactions between humans and insects. There have been several attempts to create a method to perform insect identification accurately. Great knowledge and experience on entomology are required for accurate insect identification. Automation of insect identification is required because there is a shortage of skilled entomologists. We propose an automatic insect identification framework that can identify grasshoppers and butterflies from colored images. Two classes of insects are chosen for a proof-of-concept. Classification is achieved by manipulating insects’ color and their shape feature since each class of sample case has different color and distinctive body shapes. The proposed insect identification process starts by extracting features from samples and splitting them into two training sets. One training emphasizes on computing RGB features while the other one is normalized to estimate the area of binary color that signifies the shape of the insect. SVM classifier is used to train the data obtained. Final decision of the classifier combines the result of these two features to determine which class an unknown instance belong to. The preliminary results demonstrate the efficacy and efficiency of our two-step automatic insect identification approach and motivate us to extend this framework to identify a variety of other species of insects.
format	Article
author	Hassan, Siti Noorul Asiah Abdul Rahman, Nur Nadiah Syakira Htike@Muhammad Yusof, Zaw Zaw Shoon , Lei Win
author_facet	Hassan, Siti Noorul Asiah Abdul Rahman, Nur Nadiah Syakira Htike@Muhammad Yusof, Zaw Zaw Shoon , Lei Win
author_sort	Hassan, Siti Noorul Asiah
title	Vision based entomology – how to effectively exploit color and shape features
title_short	Vision based entomology – how to effectively exploit color and shape features
title_full	Vision based entomology – how to effectively exploit color and shape features
title_fullStr	Vision based entomology – how to effectively exploit color and shape features
title_full_unstemmed	Vision based entomology – how to effectively exploit color and shape features
title_sort	vision based entomology – how to effectively exploit color and shape features
publisher	AIRCC Publishing Corporation
publishDate	2014
url	http://irep.iium.edu.my/37778/ http://irep.iium.edu.my/37778/ http://irep.iium.edu.my/37778/ http://irep.iium.edu.my/37778/1/4214cseij01.pdf
first_indexed	2023-09-18T20:54:10Z
last_indexed	2023-09-18T20:54:10Z
_version_	1777410192467558400

Vision based entomology – how to effectively exploit color and shape features

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