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计算机视觉和人工神经网络技术在花生仁外观检测中的应用

Application in Peanut Kernel Appearance Examination of Computer Vision and Manual NN
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摘要 本文运用计算机视觉和人工神经网络技术对花生仁检测进行了研究。通过MATLAB对花生仁图象进行数字处理,获取相关数据和参数,建立了破损花生仁与其颜色参数之间的数学关系,并通过此关系自动识别完好与破损花生仁,探索了农产品现代检测方法和手段。 The article research on peanut kernel appearance examination based on the technology of computer vision and manual NN. The image digital processing has been done of peanut kernel through MATLAB. Then gained the data and parameter, build the math connection of dilapidation peanut kernel and its color parameter. Then automatism distinguish intact and dilapidation peanut kernel. Search the modern times method and means of farm produce.
作者 彭中军 肖新棉 赵会珍
机构地区 华中农业大学工程技术学院 河北理工大学
出处 《现代农业装备》 2008年第3期36-40,共5页 Modern Agricultural Equipment
关键词 花生仁 外观检测 计算机视觉 人工神经网络 MATLAB peanut kemel appearance examination computer vision manual NN MATLAB
分类号 TP183 [自动化与计算机技术—控制理论与控制工程] TP391.41 [自动化与计算机技术—计算机应用技术]
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现代农业装备
2008年 第3期

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