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Related Experiment Video

Updated: Mar 19, 2026

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

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

Published on: December 3, 2013

Method for white-light interference fringe detection based on improved YOLOv5.

Zili Lei, Zuozhuang Xie, Da Liu

|March 17, 2026

Summary

This summary is machine-generated.

A new method uses an improved YOLOv5 model to quickly find the center of white-light interference fringes for precise surface measurements. This technique enhances accuracy and speed in surface topography analysis.

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Last Updated: Mar 19, 2026

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Implementation of a Reference Interferometer for Nanodetection

Implementation of a Reference Interferometer for Nanodetection

Published on: April 26, 2014

Area of Science:

Optical metrology
Computer vision
Surface characterization

Background:

White-light interferometry (WLI) is crucial for surface topography measurement.
Accurate surface information relies on precise fringe analysis in WLI.
Rapid localization of interference fringe centers is essential for high-precision WLI.

Purpose of the Study:

To develop a fast and accurate method for detecting the central region of white-light interference fringes.
To improve the performance of existing object detection models for fringe analysis in WLI.

Main Methods:

An improved YOLOv5 model was proposed for fast detection of white-light interference fringes.
Coordinate attention (CA) module and weighted bidirectional feature pyramid network (BiFPN) were integrated into YOLOv5.
The enhanced model leverages YOLOv5's inference speed for efficient fringe localization.

Main Results:

The improved YOLOv5 model achieved a mean average precision (mAP) of 82.8%, an increase from the original model's 72.1%.
The method demonstrated superior feature fusion and enhanced detection of fringes across various sizes.
Experimental results confirmed the method's capability for quick and accurate fringe detection.

Conclusions:

The proposed method offers a significant advancement in real-time white-light interference fringe detection.
The model exhibits strong transferability and generalization across different instruments and complex measurement scenarios.
This technique facilitates high-precision surface topography measurements in WLI systems.