Abstract

An approach based on a novel technique, called ensemble empirical mode decomposition, is proposed to adaptively reduce noise and remove background intensity from a two-dimensional fringe pattern. It can solve the mode-mixing problem of the original empirical mode decomposition caused by the existence of intermittent noise in fringe signals. Then a strategy is developed to automatically identify and group the resulting intrinsic mode functions for the purpose of eliminating noise and background of the fringe pattern. This approach is applied to process the simulated and practical fringe patterns, compared with Fourier transform and wavelet methods.

© 2009 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Phase demodulation using adaptive windowed Fourier transform based on Hilbert-Huang transform

Chenxing Wang and Feipeng Da
Opt. Express 20(16) 18459-18477 (2012)

Differential signal-assisted method for adaptive analysis of fringe pattern

Chenxing Wang and Feipeng Da
Appl. Opt. 53(27) 6222-6229 (2014)

Morphological operation-based bi-dimensional empirical mode decomposition for automatic background removal of fringe patterns

Xiang Zhou, Adrian Gh. Podoleanu, Zhuangqun Yang, Tao Yang, and Hong Zhao
Opt. Express 20(22) 24247-24262 (2012)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Figures (6)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Equations (4)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Metrics

You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription