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arXiv 1405.7626cs.CV
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基于图像处理和主成分分析的Basmati稻米品种分类

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

CSVTU University Rungta College of Engg. & Technology(CSVTU大学Rungta工程技术学院)

Rubi Kambo, Amit Yerpude

摘要:

所有关于稻米成品品种的重要决定都是基于稻米的不同特征。有多种方法可用于香米的分类。提出了一种基于主成分分析的水稻品种分类方法。实验结果表明,所提出的方法的有效性,为各种样品的不同品种的印度香米。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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