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  • 标题:Classification of Basmati Rice Grain Variety using Image Processing and Principal Component Analysis
  • 本地全文:下载
  • 作者:Rubi Kambo ; Amit Yerpude
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2014
  • 卷号:11
  • 期号:2
  • 页码:80-85
  • DOI:10.14445/22312803/IJCTT-V11P117
  • 出版社:Seventh Sense Research Group
  • 摘要:All important decisions about the variety of rice grain end product are based on the different features of rice grain. There are various methods available for classification of basmati rice. This paper proposed a new principal component analysis based approach for classification of different variety of basmati rice. The experimental result shows the effectiveness of the proposed methodology for various samples of different variety of basmati rice.
  • 关键词:Image pre-processing; Principal Component Analysis; Feature extraction.
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