电子科技学刊
電子科技學刊
전자과기학간
JOURNAL OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA
2014年
1期
90-94
,共5页
Features extraction%neural network%object classification%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 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.
