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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
Published on: December 3, 2013
Spin filtering processes and automatic extraction of fringe centerlines in digitial interferometric patterns
Applied Optics
|June 12, 2010
Summary
New spin filters effectively remove noise from digital interferometric images without blurring fringe features. This technique enables automatic fringe centerline extraction for improved image analysis.
Area of Science:
- Digital image processing
- Optical metrology
Background:
- Digital interferometric images often suffer from noise, which can obscure fringe patterns.
- Conventional filters like median and FFT passband filters may distort or blur these delicate fringe features.
Purpose of the Study:
- To introduce novel filtering algorithms for digital interferometric images.
- To develop a method for automatic fringe centerline extraction from noisy interferometric data.
Main Methods:
- Development and application of spin filter and binary spin filter algorithms.
- Utilizing derivative binary images in conjunction with spin filters for centerline extraction.
Main Results:
- Spin filters successfully remove noise while preserving fringe features in interferometric patterns.
- The proposed method enables accurate and automatic extraction of fringe centerlines across the entire field.
- Experimental validation confirms the effectiveness of the developed technique.
Conclusions:
- Spin filters offer a superior alternative to traditional methods for noise reduction in digital interferometry.
- The combined approach provides a robust solution for automated fringe analysis in optical metrology.
