| 基于细胞神经网络刀具磨损图像的预处理 |
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| 引用本文： | 冯冀宁,刁哲军,刘彬.基于细胞神经网络刀具磨损图像的预处理[J].组合机床与自动化加工技术,2003(6):22-23. |
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| 作者姓名： | 冯冀宁 刁哲军 刘彬 |
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| 作者单位： | 1. 河北师范大学,电子工程系,石家庄,河北,050031
2. 燕山大学,电气工程学院,河北,秦皇岛,066004 |
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| 摘 要： | 提出了一种基于细胞神经网络的刀具磨损图像处理方法，通过设计细胞神经网络参数，运用细胞神经网络对刀具的二值图像平滑滤波，边缘提取，通过仿真证明该方法是有效的，由于细胞神经网络易于用VLSI实现并且并行处理速度快，因此该方法对刀具的磨损状态机器视觉检测中的图像处理具有实用意义。
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| 关 键 词： | 细胞神经网络 刀具磨损 图像处理 机器视觉检测 状态检测 |
| 文章编号： | 1001-2265(2003)06-0022-02 |
| 修稿时间： | 2003年4月30日 |
Image processing previously of tool wear based on cellular neural network |
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| FENG Jining,DIAO Zhejun,LIU Bin.Image processing previously of tool wear based on cellular neural network[J].Modular Machine Tool & Automatic Manufacturing Technique,2003(6):22-23. |
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| Authors: | FENG Jining DIAO Zhejun LIU Bin |
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| Affiliation: | FENG Jining DIAO Zhejun LIU Bin |
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| Abstract: | A method of image processing previously based on cellular neural network is proposed in this paper. The parameters of cellular neural network are designed to smooth the binary images and detect the edge of the images, it can be seen from the simulation results that the proposed method is effective. Because the cellular neural networks can use high- speed parallel computation and be implemented easily by using VLSI, therefore it has more potential in monitoring tool wear by machine vision system. |
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| Keywords: | neural network image processing tool wear |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
