Using ensemble empirical mode decomposition to improve the static fringe analysis in optical testing

Yu Ta Chen, Mang Ou-Yang, Shuen-De Wu, Shiou Gwo Lin, Yi Ting Kuo, Cheng Chung Lee

研究成果: 書貢獻/報告類型會議貢獻

摘要

Static fringe analysis is an important skill to reconstruct the surface profile of the tested optics. The mixed image is simulated by the tilt aberration, and several methods of the reducing mixing fringe are utilized to reconstruct the optical paths difference (OPD) profile of the mixed image. In this paper, we propose the ensemble empirical mode decomposition (EEMD) method to decompose the mixed image into several intrinsic mode functions (IMFs), and then removing one or more IMFs to reduce the influence of the mixing fringe in the mixed image. The procedure of reducing mixing fringe can reconstruct the OPD profile of the mixed image easily. In the simulation, using EEMD to reduce the influence of the mixing fringe, the root mean square (RMS) value of the OPD is 0.081 waves as the residue image subtracted from the OPD profiles of original image. In the experiment, the EEMD method reducing the noise of the mixing fringe has the advantage on the high frequency as spherical aberration.

原文英語
主出版物標題2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings
頁面249-253
頁數5
DOIs
出版狀態已發佈 - 2012 七月 30
事件2012 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2012 - Graz, 奥地利
持續時間: 2012 五月 132012 五月 16

其他

其他2012 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2012
國家奥地利
城市Graz
期間12/5/1312/5/16

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • 引用此

    Chen, Y. T., Ou-Yang, M., Wu, S-D., Lin, S. G., Kuo, Y. T., & Lee, C. C. (2012). Using ensemble empirical mode decomposition to improve the static fringe analysis in optical testing. 於 2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings (頁 249-253). [6229233] https://doi.org/10.1109/I2MTC.2012.6229233