Research on the Shape of Wheat Kernels Based on Fourier Describer

机译：基于傅里叶描述子的小麦籽粒形状研究

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The shape of wheat kernels is one of the most important criterions for quality inspection and grading. This paper has used Fourier describer to describe the three views of wheat shape accurately and has had a counter-construction operation.Also it verified this method for describing the shape, small but complex. Finally, the appropriate characteristic parameters were selected, and the BP-network was used to classify the four varieties wheat kernels. This method deserves a recognition rate of 98%~99%.

机译：麦粒的形状是质量检查和分级的最重要标准之一。本文使用傅立叶描述器准确描述了小麦形状的三种观点，并进行了反构造操作，并验证了这种描述形状的方法，小而复杂。最后，选择合适的特征参数，并用BP网络对4个品种的小麦籽粒进行分类。该方法的识别率为98％〜99％。

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来源
《IFIP TC 5/SIG 5.1 conference on computer and computing technologies in agriculture;CCTA 2011》|2011年|p.8-15|共8页
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作者
Wei Xiao; Qinghai Li; Longzhe Quan;
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正文语种
中图分类农业基础科学;计算技术、计算机技术;
关键词
machine vision; wheat kernel; fourier describer; pattern recognition; BP-network;

机译：机器视觉小麦籽粒傅立叶描述模式识别; BP网络;

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Research on the Shape of Wheat Kernels Based on Fourier Describer

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