Performance of Object Classification Using Zernike
Moment
Ariffuddin
Joret;Mohammad
Faiz
Liew
Abdullah;Muhammad
Suhaimi
Sulong;Asmarashid Ponniran;Siti Zuraidah Zainudin
【期刊名称】《电子科技学刊》 【年(卷),期】2014(000)001
【摘要】Moments have been used in all sorts of object classification systems based on image. There are lots of moments studied by many researchers in the area of object classification and one of the most preference moments is the Zernike moment. In this paper, the performance of object classification using the Zernike moment has been explored. The classifier based on neural networks has been used in this study. The results indicate the best performance in identifying the aggregate is at 91.4% with a ten orders of the Zernike moment. This encouraging result has shown that the Zernike moment is a suitable moment to be used as a feature of object classification systems. 【总页数】5页(90-94) 【关键词】
【作者】Ariffuddin Joret;Mohammad Faiz Liew Abdullah;Muhammad Suhaimi Sulong;Asmarashid Ponniran;Siti Zuraidah Zainudin
【作者单位】the Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein 0nn Malaysia, 86400 Parit Raja, Johor,
Malaysia;the Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein 0nn Malaysia, 86400 Parit Raja, Johor, Malaysia;the Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein 0nn Malaysia, 86400 Parit Raja, Johor, Malaysia;the Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein 0nn Malaysia, 86400 Parit Raja, Johor, Malaysia;the Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein 0nn Malaysia, 86400 Parit Raja, Johor, Malaysia 【正文语种】英文 【中图分类】 【相关文献】
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Performance of Object Classification Using Zernike Moment
