| 基于机器视觉的大豆细菌斑点病粒检测 |
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| 引用本文： | 时玉强,柴玉华,郑先哲.基于机器视觉的大豆细菌斑点病粒检测[J].东北农业大学学报,2009,40(4). |
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| 作者姓名： | 时玉强 柴玉华 郑先哲 |
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| 作者单位： | 东北农业大学工程学院,哈尔滨,150030 |
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| 基金项目： | 中国博士后科学基金，黑龙江省博士后启动基金，东北农业大学博士启动基金 |
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| 摘 要： | 文章基于机器视觉,通过图像获取系统得到大豆的表面颜色特征,应用SAS对大豆表面颜色特征进行LOGISTIC回归后,应用BP神经网络对大豆进行标准粒与细菌斑点病粒的分类。经过网络训练后,选用收敛效果好的网络对数据进行仿真预测,共计160粒,其中标准大豆80粒,细菌斑点病80粒。得到的测试识别率为:标准大豆96.3%、大豆菌斑粒98.8%。本研究为大豆菌斑粒的在线识别提供了一定的依据,有利于实现大豆的在线缺陷粒检测。
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| 关 键 词： | 颜色特征 机器视觉 BP神经网络 |
Inspection of soybean with spots caused by bacteria based on machine vision |
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| SHI Yuqiang,CHAI Yuhua,ZHENG Xianzhe.Inspection of soybean with spots caused by bacteria based on machine vision[J].Journal of Northeast Agricultural University,2009,40(4). |
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| Authors: | SHI Yuqiang CHAI Yuhua ZHENG Xianzhe |
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| Institution: | Engineering College;Northeast Agricultural University;Harbin 150030;China |
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| Abstract: | Machine vision has been widely used on detecting and determining defection.Spots on soybean caused by bacteria were inspected with this technology.Nine soybean color properties(R,G,B,H,S,V,G/B,G/R,R/B) were extracted by computer from digital images.After analyzing these traits by logistic regression with statistics analysis system,BP Neural Network was used to distinguish normal soybean seeds and spotted ones,160 ones in total.The rate for normal soybeans was 96.3%,and for spotted ones was 98.8%.The researc... |
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| Keywords: | color properties machine vision BP Neural Network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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