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Krawtchouk Moment Invariant and Gaussian ARTMAP Neural Network: a combination techniques for image classification

Organized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 15th June 2006 at DKG 4 & DKG 5, Kubang Gajah, Arau, Perlis.

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Bibliographic Details
Main Authors: Shahrul Nizam, Yaakob, Puteh, Saad
Format: Working Paper
Language:English
Published: Kolej Universiti Kejuruteraan Utara Malaysia 2009
Subjects:
Krawtchouck Moment Invariant (KMI)
Gaussian ARTMAP (GAM)
Image processing
Image classification
Geometric Moment Invariant (GMI)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7166
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spelling my.unimap-71662009-09-08T04:51:06Z Krawtchouk Moment Invariant and Gaussian ARTMAP Neural Network: a combination techniques for image classification Shahrul Nizam, Yaakob Puteh, Saad Krawtchouck Moment Invariant (KMI) Gaussian ARTMAP (GAM) Image processing Image classification Geometric Moment Invariant (GMI) Organized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 15th June 2006 at DKG 4 & DKG 5, Kubang Gajah, Arau, Perlis. The main objective of this research is to develop a practical system for binary image classification using Krawtchouk Moment Invariant (KMI) as the feature extraction technique while Gaussian ARTMAP (GAM) is adopted for classification task. Fundamentally, KMI is introduced by P.T. Yap back in 2003 based on the discrete orthogonal function which is invariant to position, scale and rotation factors. This technique is used to extract the global shape feature of binary images. As a comparison we also applied two other types of features extraction methods that are Geometric Moment Invariant (GMI) and Legendre Moment Invariant (LMI). In doing so, 20 dissimilar types of insect with totally of 240 images have been used for classification purposes. Furthermore, we have applied k-folds cross validation technique in order to seek the reliability of the techniques used. In this research, we found that KMI generated the highest classification rate of GAM which is about 99% compare to GMI (91%) and LMI (97%). The high share numbers for KMI, GMI and LMI demonstrated that GAM neural networks is well efficient technique for classification. In addition, the combination of GAM and KMI methods is one of the brilliant concepts in developing a fully practical system for binary image classification based on the global shape features. 2009-09-08T04:51:06Z 2009-09-08T04:51:06Z 2006-06-15 Working Paper p.25-32 http://hdl.handle.net/123456789/7166 en KUKUM Engineering Research Seminar 2006 Kolej Universiti Kejuruteraan Utara Malaysia
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 Krawtchouck Moment Invariant (KMI)
Gaussian ARTMAP (GAM)
Image processing
Image classification
Geometric Moment Invariant (GMI)
spellingShingle Krawtchouck Moment Invariant (KMI)
Gaussian ARTMAP (GAM)
Image processing
Image classification
Geometric Moment Invariant (GMI)
Shahrul Nizam, Yaakob
Puteh, Saad
Krawtchouk Moment Invariant and Gaussian ARTMAP Neural Network: a combination techniques for image classification
description Organized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 15th June 2006 at DKG 4 & DKG 5, Kubang Gajah, Arau, Perlis.
format Working Paper
author Shahrul Nizam, Yaakob
Puteh, Saad
author_facet Shahrul Nizam, Yaakob
Puteh, Saad
author_sort Shahrul Nizam, Yaakob
title Krawtchouk Moment Invariant and Gaussian ARTMAP Neural Network: a combination techniques for image classification
title_short Krawtchouk Moment Invariant and Gaussian ARTMAP Neural Network: a combination techniques for image classification
title_full Krawtchouk Moment Invariant and Gaussian ARTMAP Neural Network: a combination techniques for image classification
title_fullStr Krawtchouk Moment Invariant and Gaussian ARTMAP Neural Network: a combination techniques for image classification
title_full_unstemmed Krawtchouk Moment Invariant and Gaussian ARTMAP Neural Network: a combination techniques for image classification
title_sort krawtchouk moment invariant and gaussian artmap neural network: a combination techniques for image classification
publisher Kolej Universiti Kejuruteraan Utara Malaysia
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7166
_version_ 1643788709611438080
score 13.222552

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