| 基于机器视觉的脐橙可食率的研究 |
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| 引用本文： | 黄玲,马兆敏. 基于机器视觉的脐橙可食率的研究[J]. 安徽农业科学, 2010, 0(25): 14139-14140 |
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| 作者姓名： | 黄玲 马兆敏 |
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| 作者单位： | 广西工学院电子信息与控制工程系,广西柳州,545006 |
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| 摘 要： | 脐橙的可食率可通过脐橙的重量和体积估测得到,在此基础上提出了一种脐橙可食率的估测方法。首先通过机器视觉技术获取脐橙2个方向的截面积,再以这2个截面积和脐橙重量为输入变量的神经网络估计脐橙的可食率。试验结果表明,该方法在估计脐橙的可食率方面取得了较好的效果。
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| 关 键 词： | 可食率 机器视觉 脐橙 |
Study on Esculent Part of Navel Orange Based on Machine Vision |
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| HUANG Ling et al. Study on Esculent Part of Navel Orange Based on Machine Vision[J]. Journal of Anhui Agricultural Sciences, 2010, 0(25): 14139-14140 |
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| Authors: | HUANG Ling et al |
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| Affiliation: | HUANG Ling et al (Department of Electronic Information & Control Engineering,Guangxi University of Technology,Liuzhou,Guangxi 545006) |
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| Abstract: | The percentage of the esculent part of naval orange could be estimated with weight and volume of navel orange,based on which a new estimation method is proposed.At first,the section areas from two directions of navel orange are obtained by machine vision.And then the percentage of the esculent part of naval orange is estimated with Neural Network whose input variables are two surface areas and weight of navel orange.Results show that the method achieves a good effect in estimating the edible rate of naval o... |
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| Keywords: | Edible rate Machine vision Navel orange |
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