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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Kolej Universiti Kejuruteraan Utara Malaysia
2009
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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 |
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Universiti Malaysia Perlis |
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Asia |
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Malaysia |
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Universiti Malaysia Perlis |
| content_source |
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| 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 |
13.214268 |