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An insect classification analysis based on shape features using quality threshold ARTMAP and moment invariant

Link to publisher's homepage at http://link.springer.com/journal/10489

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Main Authors: Shahrul Nizam, Yaakob, Jain, Lakhmi
Format: Article
Language:English
Published: Springer 2013
Subjects:
Quality threshold ARTMAP
Fuzzy ARTMAP
Moment invariant
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/25576
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spelling my.unimap-255762013-05-30T06:25:03Z An insect classification analysis based on shape features using quality threshold ARTMAP and moment invariant Shahrul Nizam, Yaakob Jain, Lakhmi Quality threshold ARTMAP Fuzzy ARTMAP Moment invariant Link to publisher's homepage at http://link.springer.com/journal/10489 The main objective of this paper is to investigate the use of Quality Threshold ARTMAP (QTAM) neural network in classifying the feature vectors generated by moment invariant for the insect recognition task. In this work, six different types of moment invariant technique are adopted to extract the shape features of the insect images. These moment techniques are Geometrical Moment Invariant (GMI), United Moment Invariant (UMI), Zernike Moment Invariant (ZMI), Legendre Moment Invariant (LMI), Tchebichef Moment Invariant (TMI) and Krawtchouk Moment Invariant (KMI). All the moment techniques are analyzed using the concept of intraclass and interclass analysis. In intraclass analysis, several computation methods are introduced in order to examine the invariance properties of adopted moment techniques for the same insect object. Meanwhile, the classification accuracy of neural networks is adopted to measure the interclass characteristic and the effectiveness of moment technique in extracting the shape features of insect images. Other types of neural networks are also utilized in this research work. This includes novel enhancement technique based on the Gaussian and Mahalanobis function that design to increase its prediction accuracy. All the other networks used to classify the feature vectors are based on the Fuzzy ARTMAP (FAM) neural network. The experimental results indicated that the Krawtchouk Moment Invariant technique generated the highest classification accuracy for most of the networks used and generated the smallest error for the intraclass analysis. Using different normalization technique, the Quality Threshold ARTMAP and Mahalanobis distance function (QTAM-m) network gave the highest insect recognition results when compared to other networks. 2013-05-30T06:25:02Z 2013-05-30T06:25:02Z 2012-07 Article Applied Intelligence, vol.37(1), 2012, pages 12-30 . 0924-669X (print) 1573-7497 (online) http://link.springer.com/article/10.1007/s10489-011-0310-3 http://hdl.handle.net/123456789/25576 en Springer
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Quality threshold ARTMAP
Fuzzy ARTMAP
Moment invariant
spellingShingle Quality threshold ARTMAP
Fuzzy ARTMAP
Moment invariant
Shahrul Nizam, Yaakob
Jain, Lakhmi
An insect classification analysis based on shape features using quality threshold ARTMAP and moment invariant
description Link to publisher's homepage at http://link.springer.com/journal/10489
format Article
author Shahrul Nizam, Yaakob
Jain, Lakhmi
author_facet Shahrul Nizam, Yaakob
Jain, Lakhmi
author_sort Shahrul Nizam, Yaakob
title An insect classification analysis based on shape features using quality threshold ARTMAP and moment invariant
title_short An insect classification analysis based on shape features using quality threshold ARTMAP and moment invariant
title_full An insect classification analysis based on shape features using quality threshold ARTMAP and moment invariant
title_fullStr An insect classification analysis based on shape features using quality threshold ARTMAP and moment invariant
title_full_unstemmed An insect classification analysis based on shape features using quality threshold ARTMAP and moment invariant
title_sort insect classification analysis based on shape features using quality threshold artmap and moment invariant
publisher Springer
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/25576
_version_ 1643794699745492992
score 13.214268

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