Performance of Object Classification Using Zernike Moment

Performance of Object Classification Using Zernike Moment

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...

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Veröffentlicht in:电子科技学刊 2014, Vol.12 (1), p.90-94
1. Verfasser: Ariffuddin Joret Mohammad Faiz Liew Abdullah Muhammad Suhaimi Sulong Asmarashid Ponniran Siti Zuraidah Zainudin
Format: Artikel
Sprache:eng
Schlagworte:
Zernike矩
分类系统
图像目标
对象分类
最佳性能
目标分类
研究人员
神经网络
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description 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.
doi_str_mv 10.3969/j.issn.1674-862X.2014.01.018
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subjects Zernike矩
分类系统
图像目标
对象分类
最佳性能
目标分类
研究人员
神经网络
title Performance of Object Classification Using Zernike Moment
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