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

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Center extraction method for reflected metallic surface fringes based on line structured light.

Limei Song, Jinsheng He, Yunpeng Li

Journal of the Optical Society of America. A, Optics, Image Science, and Vision

|March 4, 2024

Summary

This summary is machine-generated.

This study introduces a new sub-pixel stripe center extraction method for measuring metal surfaces. The technique improves 3D reconstruction accuracy by reducing errors caused by surface scattering and noise.

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Area of Science:

Metrology
Optical Measurement
Surface Topography

Background:

Metal surface measurement using line structured light is challenged by significant stripe center extraction errors.
Optical characteristics and scattering noise from metal surfaces degrade measurement accuracy.

Purpose of the Study:

To propose a sub-pixel stripe center extraction method for enhanced metal surface topography measurement.
To address and mitigate extraction errors caused by surface optical properties and scattering noise.

Main Methods:

Adaptive threshold segmentation to isolate regions of interest and remove background noise.
Gray-gravity method for initial rough stripe center localization.
Gradient weighting strategy for precise sub-pixel stripe center extraction.

Main Results:

The proposed method effectively eliminates interference from metal surface scattering in 3D reconstruction.
Achieved an average height error of 0.025 mm on a standard block.
Demonstrated measurement accuracy repeatability of 0.026 mm.

Conclusions:

The developed sub-pixel stripe center extraction method significantly improves the accuracy of metal surface topography measurements.
This technique offers a robust solution for 3D reconstruction in the presence of challenging surface conditions.