An asymmetric polarization-based frequency scanning interferometer : design principle

被引:0
|
作者
Lee, Seung Hyun [1 ]
Kim, Min Young [1 ]
机构
[1] Kyungpook Natl Univ, IT Coll, Sch Elect Engn, Taegu 702701, South Korea
来源
INTERFEROMETRY XVII: ADVANCED APPLICATIONS | 2014年 / 9204卷
关键词
Interferometer; FSI; Frequency scan; Optical polarization characteristic; transparent object; ACOUSTOOPTIC TUNABLE FILTER; PHASE-SHIFTING TECHNIQUE; SURFACE PROFILE; THIN-FILM; THICKNESS; PROFILOMETRY;
D O I
10.1117/12.2061574
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Usage of transparent objects has been increased with technological development of optical structure in display industries and micro optical component in MEMS industries. Their optical characteristics highly depend on the materials and the micro structures. When the optical measurement methods are used for dimensional quality control in their manufacturing, polarization change problem causes the measurement difficulties due to low sensitivity to measurement signals and high sensitivity to noise signals. Interferometry is one of the most promising optical surface measurement techniques. In conventional symmetric interferometers, as the intensities of the reflected lights from the reference mirror and the object are much different, it results in low contrast of interference fringes and low accuracy of dimensional measurement. In this paper, to solve this problem, an asymmetric PFSI(Polarization based Frequency Scanning Interferometer) is proposed using asymmetric polarimetric method. The proposed PFSI system controls the polarization direction of the beam using polarizer and wave plate with conventional FSI system. By controlling the wave plate, it is possible to asymmetrically modulate the magnitude of object beam and reference beam divided by PBS. Based on this principle, if target object consists of transparent parts and opaque parts with different polarization characteristics, each of them can be measured selectively. After fast Fourier transform of the acquired interference signal, the shape of object is obtained from OPD(Optical Path Difference) calculation process. The proposed system is evaluated in terms of measurement accuracy and noise robustness through a series of experiment to show the effectiveness of the system.
引用
收藏
页数:7
相关论文
共 50 条
  • [31] Polarization-based vision through haze
    Schechner, YY
    Narasimhan, SG
    Nayar, SK
    APPLIED OPTICS, 2003, 42 (03) : 511 - 525
  • [32] Polarization-based orientation in a natural environment
    Müller, V
    BIOLOGICALLY MOTIVATED COMPUTER VISION, PROCEEDING, 2000, 1811 : 98 - 107
  • [33] Polarization-based truncated SU(1,1) interferometer based on four-wave mixing in Rb vapor
    Prajapati, Nikunjkumar
    Novikova, Irina
    OPTICS LETTERS, 2019, 44 (24) : 5921 - 5924
  • [34] Polarization contrast of zooplankton: A model for polarization-based sighting distance
    Sabbah, S
    Shashar, N
    VISION RESEARCH, 2006, 46 (04) : 444 - 456
  • [35] Noninvasive polarization-based technique for hematocrit monitoring
    Khlynov, R. D.
    Ryzhova, V. A.
    Korotaev, V. V.
    Yarishev, S. N.
    Djamiykov, T. S.
    Marinov, M. B.
    JOURNAL OF OPTICAL TECHNOLOGY, 2023, 90 (01) : 33 - 41
  • [36] Polarization-based tachometer for measuring spinning rotors
    Prost, Emilien
    Hertz, Edouard
    Billard, Franck
    Lavorel, Bruno
    Faucher, Olivier
    OPTICS EXPRESS, 2018, 26 (24): : 31839 - 31849
  • [37] Underwater polarization-based single pixel imaging
    Wu, Houde
    Zhao, Ming
    Li, Fengqiang
    Tian, Zhiming
    Zhao, Meijing
    JOURNAL OF THE SOCIETY FOR INFORMATION DISPLAY, 2020, 28 (02) : 157 - 163
  • [38] Polarization-Based Zero Forcing with Channel Estimation
    Pratt, Thomas G.
    Tapse, Hrishikesh
    Baxley, Robert
    Walkenhorst, Brett
    Acosta-Marum, Guillermo
    2011 - MILCOM 2011 MILITARY COMMUNICATIONS CONFERENCE, 2011, : 2252 - 2257
  • [39] Adapted learning for Polarization-based car detection
    Blin, Rachel
    Ainouz, Samia
    Canu, Stephane
    Meriaudeau, Fabrice
    FOURTEENTH INTERNATIONAL CONFERENCE ON QUALITY CONTROL BY ARTIFICIAL VISION, 2019, 11172
  • [40] Optimized method for polarization-based image dehazing
    Sun, Chunsheng
    Ding, Zhichao
    Ma, Liheng
    HELIYON, 2023, 9 (05)