| 仪表表盘数字识别方法的研究 |
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| 引用本文： | 张绍兵,张兴华.仪表表盘数字识别方法的研究[J].工业控制计算机,2008,21(7). |
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| 作者姓名： | 张绍兵 张兴华 |
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| 作者单位： | 黑龙江科技学院计算机与信息工程学院,黑龙江,哈尔滨,150027 |
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| 基金项目： | 黑龙江科技学院青年基金项目 |
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| 摘 要： | 针对无指针式仪表表盘的数字识别问题,提出一种基于特征提取和粗糙集特征约简的神经网络数字识别方法.该方法首先利用数字图像预处理技术处理图像并利用特征提取方法提取数字图像特征,然后利用粗糙集理论进行特征约简,最后将约简后的信息输入到训练好的神经网络进行识别.
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| 关 键 词： | 神经网络 数字识别 粗糙集 特征提取 |
Research on Number Recognition Method of Instrument Dial |
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| Zhang Shaobing et al.Research on Number Recognition Method of Instrument Dial[J].Industrial Control Computer,2008,21(7). |
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| Authors: | Zhang Shaobing |
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| Abstract: | The paper put forward a neural network number recognition method based on feature extraction and rough set feature reduction aiming at number recognition problem of no-pointer instrument dial.Firstly the method processed images using pre-process technology of number image and extracted number image features using feature extraction method,then carried through feature reduction using rough set theory,finally carried through recognition with reduced information into trained neural network. |
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| Keywords: | neural network number recognition rough set feature extraction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
