文章基本信息

标题：Classification of Basmati Rice Grain Variety using Image Processing and Principal Component Analysis
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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.