Fringe pattern analysis using hybrid image processing.

Area of Science:

• Optical Engineering
• Image Processing
• Metrology

Background:

• Interferograms and moire fringes are crucial for optical measurements.
• Traditional analysis methods can be limited by noise and computational complexity.
• Optical defocusing offers potential for image preprocessing.

Purpose of the Study:

• To investigate a hybrid image processing technique combining optical defocusing and digital computing.
• To apply this technique for analyzing interferograms and moire patterns.
• To evaluate the effectiveness of optical defocusing for noise suppression and measurement accuracy.

Main Methods:

• Utilized optical defocusing for image preprocessing to reduce high-frequency noise.
• Employed digital computing techniques for analyzing interferograms and moire fringes.
• Measured optical thickness distribution of a glass plate using interferograms.
• Tested power distribution of an eyeglass lens using moire patterns.

Main Results:

• Successfully measured the optical thickness distribution of a glass plate.
• Accurately determined the power distribution of an eyeglass lens.
• Demonstrated that optical defocusing effectively suppresses high-frequency noise in images.
• Identified the relationship between defocus amount and processed image quality.

Conclusions:

• The hybrid image processing approach is effective for analyzing interferograms and moire fringes.
• Optical defocusing serves as a valuable preprocessing step for noise reduction.
• This method offers a robust solution for optical metrology applications.