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Related Experiment Video

Updated: Feb 17, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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Improved 3D measurement with a novel preprocessing method in DFP.

Yi Xiao1, You-Fu Li1

  • 1Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong.

Robotics and Biomimetics
|December 5, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to remove shadows and backgrounds in digital fringe projection, improving 3D measurement accuracy. The technique effectively segments objects even on complex backgrounds, enhancing reliability.

Keywords:
Binary defocusingCoding mapDigital fringe projectionModulation histogramPreprocessingSegmentation

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Area of Science:

  • Computer Vision
  • Metrology
  • Image Processing

Background:

  • Digital fringe projection is crucial for 3D measurement.
  • Shadows and complex backgrounds hinder accurate 3D reconstruction.
  • Existing segmentation methods fail on non-dark backgrounds.

Purpose of the Study:

  • To develop an accurate shadow and background removal technique for digital fringe projection.
  • To improve 3D measurement accuracy by addressing segmentation challenges.
  • To enhance the reliability of fringe projection systems in diverse environments.

Main Methods:

  • Segmentation of shadows using a modulation histogram threshold.
  • Segmentation of background using an intensity histogram threshold.
  • Development of a robust preprocessing technique for fringe projection data.

Main Results:

  • The proposed method accurately segments objects from shadows and complex backgrounds.
  • Experimental results demonstrate the effectiveness and reliability of the technique.
  • Improved accuracy in 3D measurements is achieved compared to existing methods.

Conclusions:

  • The novel shadow and background removal technique significantly enhances digital fringe projection.
  • This method offers a reliable solution for 3D measurement in challenging lighting conditions.
  • The findings contribute to more robust and accurate 3D reconstruction technologies.