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基于径向基函数网络的显微结构下目标三维测量
引用本文:石晓龙,许志榜,许进.基于径向基函数网络的显微结构下目标三维测量[J].微计算机信息,2006,22(25):269-270.
作者姓名:石晓龙  许志榜  许进
作者单位:1. 430074,湖北,武汉,华中科技大学,控制科学与工程系
2. 330013,江西,南昌,华东交通大学电气与电子工程学院
基金项目:国家自然科学基金;华中科技大学校科研和教改项目
摘    要:本文基于对显微结构下目标三维特征分析,结合神经网络算法,提出了基于神经网络算法的目标三维测量。通过径向基函数网络对实现了对目标图像的小波特征提取与测量。将对信号的小波包分析与RBF网络的结合,以较小的计算代价实现了对目标图像的三维特征的提取与测量。

关 键 词:三维测量  特征提取  RBF网络
文章编号:1008-0570(2006)09-1-0269-02
修稿时间:2006年1月7日

Application of RBF Networks for 3-Dimension Measurement under Microscope
Shi Xiaolong,Xu Jin,Xu Zhibang.Application of RBF Networks for 3-Dimension Measurement under Microscope[J].Control & Automation,2006,22(25):269-270.
Authors:Shi Xiaolong  Xu Jin  Xu Zhibang
Abstract:This article is concerned with the research on the 3-Dimension measurement of objects under microscope, which is essen-tial to the detection and manipulation problems in Micro-flow System. The author proposed a new method to detect the 3-Dimension information under microscope. By introducing neural network and wavelet theory, the calibration procedure can be implemented auto-matically by neural network. After the calibration procedure, the relationship between micrographic images and lengthwise distance of the object under microscope is mapped as the weight point of the neural network, and the measurement procedure can be quickly im-plement automatically with an input image of the object under microscope.
Keywords:3-Dimension measurement Feature extraction RBF Network Shi Xiaolong Post Doctor  Department of Control Sci-ence and Engineering  Huazhong University of Science & Technology  Hubei Prov  Wuhan 430074  P  R  China  
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