Discussion on spatial spectral characteristic of Fourier transform method for interference fringe analysis

Xiaochen Meng*, Qun Hao, Qiu Dong Zhu, Yao Hu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Because of the global characteristic of the Fourier transform method for fringe pattern analysis, it has been extensively developed and widely used in optical metrology. Many other works were published afterward; however, the spatial spectrum characteristic of the Fourier transform method has not been fully and systematically investigated. The spatial spectrum characteristic and its relationship with factors such as the quantization of grey levels, random noise, and spatial carrier frequency are discussed. The results indicate that, the maximum bandwidth can be measured by the Fourier transform method is close to Nyquist sampling theorem. That provides a theoretical quantitative basis for the study of extending the measurement range of the Fourier transform method, also builds the relationship between the spatial frequency can be measured and the resolution of interferogram detector.

Original languageEnglish
Title of host publication2011 International Conference on Optical Instruments and Technology
Subtitle of host publicationOptoelectronic Measurement Technology and Systems
PublisherSPIE
ISBN (Print)9780819488428
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems - Beijing, China
Duration: 6 Nov 20119 Nov 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8201
ISSN (Print)0277-786X

Conference

Conference2011 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems
Country/TerritoryChina
CityBeijing
Period6/11/119/11/11

Keywords

  • Fourier transform method
  • Optical measurement
  • Phase measurement accuracy
  • Spatial spectrum

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