| 三维测量技术中采用的反向传播神经网络方法 |
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| 引用本文： | 邓文怡,吕乃光.三维测量技术中采用的反向传播神经网络方法[J].华中科技大学学报(自然科学版),1999,27(1):78-80. |
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| 作者姓名： | 邓文怡 吕乃光 |
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| 作者单位： | 北京机械工业学院机电工程系 |
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| 摘 要： | 利用人工神经网络对零件三维表面轮廓进行非接触测量．详细介绍了光学系统、数据获取，如何训练反向传播神经网络（ＢＰＮ）确定系统映射函数，以及零件３－Ｄ曲面测量方法和实例．该方法降低了对测量系统精度的要求，并且不需要精确调整和事先精确测定成像系统的参数
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| 关 键 词： | 轮廓测量 神经网络 图像处理 |
| 修稿时间： | 1998-10-06. |
Back-Propagation Neural Network Method for 3-D Measurement |
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| Deng Wenyi,Lu Naiguang.Back-Propagation Neural Network Method for 3-D Measurement[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1999,27(1):78-80. |
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| Authors: | Deng Wenyi Lu Naiguang |
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| Institution: | Deng Wenyi Lu Naiguang |
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| Abstract: | A non contact measurement method for a workpiece with 3 D surface is introduced by using a kind of artificial neural network Backpropagation Network (BPN). The optical system, data acquisition, and train of BPN are discussed in detail, and the mapping function of the system determined. The method and the example for measurement of 3 D surface are given. The requirement for the system accuracy is reduced, and testing and aligning the whole system in advance accurately are not needed in this method. |
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| Keywords: | profile measurement artificial neural network image processing |
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