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获取平面光学元件面形偏差的方法研究
引用本文:江晓军,刘正国,洪晓鸥,汪志锋. 获取平面光学元件面形偏差的方法研究[J]. 电子科技大学学报(社会科学版), 2010, 0(4)
作者姓名:江晓军  刘正国  洪晓鸥  汪志锋
作者单位:上海第二工业大学电子与电气工程学院;
基金项目:上海市教委重点学科建设项目(J51801); 上海第二工业大学校基金(QD209010)的资助
摘    要:提出一种利用BP神经网络获取平面光学元件面形偏差的方法。该方法先确定一幅干涉条纹图像测试区域中条纹弯曲量和条纹间距,然后对BP神经网络进行训练,最后获取被测平面光学元件的光圈数。通过与Zygo激光干涉仪的测量结果进行比较,发现两者的测量结果相吻合。实验结果表明,该方法不仅可以增强处理干涉条纹图像的适应性,而且可以提高测量精度。

关 键 词:BP神经网络  数字图像处理  条纹分析  测量  

Study on Obtaining the Surface form Deviation of the Plane Optical Element
JIANG Xiao-jun,LIU Zheng-guo,HONG Xiao-ou,, WANG Zhi-feng. Study on Obtaining the Surface form Deviation of the Plane Optical Element[J]. Journal of University of Electronic Science and Technology of China(Social Sciences Edition), 2010, 0(4)
Authors:JIANG Xiao-jun  LIU Zheng-guo  HONG Xiao-ou     WANG Zhi-feng
Affiliation:JIANG Xiao-jun,LIU Zheng-guo,HONG Xiao-ou,, WANG Zhi-feng (School of Electronic , Electrical Engineering,Shanghai Second Polytechnic University Pudong New District Shanghai 201209)
Abstract:A method of obtaining the surface form deviation of the plane optical element by using BP neural network is presented. The curvatures of the interference fringes and the values of the fringe spacing of tested zones in the interferogram are determined,and the BP neural network is trained to obtain the value of light ring of the plane optical element. It is found that the test results obtained by Zygo interferometer are consistent with the test results obtained by the proposed method. Experimental results sho...
Keywords:BP neural network  digital image processing  fringe analysis  measurement  
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