Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jun 22, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Adaptive analysis of optical fringe patterns using ensemble empirical mode decomposition algorithm.

Xiang Zhou1, Hong Zhao, Tao Jiang

  • 1State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China. zhouxiang@mail.xjtu.edu.cn

Optics Letters
|July 3, 2009
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Evaluation of palatal bone thickness in adults with normal occlusion for orthodontic miniscrews placement].

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology·2011
Same author

5-Methyl-1-(3-nitro-benz-yl)-1H-1,2,3-triazole-4-carboxylic acid monohydrate.

Acta crystallographica. Section E, Structure reports online·2011
Same author

1-Benzyl-5-methyl-1H-1,2,3-triazole-4-carboxylic acid monohydrate.

Acta crystallographica. Section E, Structure reports online·2011
Same author

1-[(3-Methyl-piperidin-1-yl)(phen-yl)meth-yl]-2-naphthol.

Acta crystallographica. Section E, Structure reports online·2011
Same author

3-[(1H-Benzimidazol-2-yl)sulfanyl-methyl]benzonitrile.

Acta crystallographica. Section E, Structure reports online·2011
Same author

Determination of fumaric and maleic acids with stacking analytes by transient moving chemical reaction boundary method in capillary electrophoresis.

Journal of chromatography. A·2011
Same journal

Gaussian-modulated continuous-variable quantum key distribution over 60 km fiber using an integrated silicon photonic receiver.

Optics letters·2026
Same journal

E2E-OCT: end-to-end joint learning model using optical coherence tomography images for vocal cord leukoplakia diagnosis.

Optics letters·2026
Same journal

Holographic generation of panoramic 3D scenes by concave ellipsoidal mirror reflection.

Optics letters·2026
Same journal

Dual-pilot phase recovery with pair-wise maximum-ratio combining for coherent PONs.

Optics letters·2026
Same journal

Mapping the whispering gallery modes of a CaF<sub>2</sub> disk resonator with half-tapered fibers to estimate the fundamental mode volume.

Optics letters·2026
Same journal

Quantitative estimation of deep-subwavelength scale via dark-field scattering axial energy concentration decay profiles.

Optics letters·2026
See all related articles

A novel ensemble empirical mode decomposition method effectively reduces noise and background intensity in 2D fringe patterns. This technique addresses mode-mixing issues, improving fringe pattern analysis for various applications.

Area of Science:

  • Optical Metrology
  • Signal Processing
  • Image Analysis

Background:

  • Fringe patterns are crucial in optical metrology but often corrupted by noise and background intensity.
  • Traditional noise reduction methods struggle with intermittent noise and mode-mixing in fringe signals.
  • Empirical Mode Decomposition (EMD) offers a potential solution but faces limitations with complex signals.

Purpose of the Study:

  • To propose a novel ensemble empirical mode decomposition (EEMD) approach for adaptive noise and background reduction in 2D fringe patterns.
  • To address the mode-mixing problem inherent in standard EMD when applied to noisy fringe signals.
  • To develop an automated strategy for identifying and grouping intrinsic mode functions (IMFs) for effective noise and background elimination.

Main Methods:

More Related Videos

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
11:15

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

Published on: May 30, 2016

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

Related Experiment Videos

Last Updated: Jun 22, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
11:15

A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

Published on: May 30, 2016

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters
14:58

Optical Scatter Microscopy Based on Two-Dimensional Gabor Filters

Published on: June 2, 2010

  • Ensemble Empirical Mode Decomposition (EEMD) for adaptive noise and background suppression.
  • A strategy for automatic identification and grouping of intrinsic mode functions (IMFs).
  • Application and comparison with Fourier Transform (FT) and Wavelet Transform (WT) methods on simulated and practical fringe patterns.

Main Results:

  • The proposed EEMD approach successfully reduces noise and background intensity in 2D fringe patterns.
  • It effectively overcomes the mode-mixing problem associated with standard EMD in the presence of intermittent noise.
  • Demonstrated superior performance compared to FT and WT methods in processing both simulated and real-world fringe patterns.

Conclusions:

  • The novel EEMD-based approach provides an effective and adaptive solution for fringe pattern preprocessing.
  • This method enhances the accuracy and reliability of fringe analysis in optical metrology.
  • The automated IMF grouping strategy simplifies and improves the overall fringe pattern processing workflow.