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Edge Bleeding Artifact Reduction for Shape from Focus in Microscopic 3D Sensing.

Sang-Ho Park1, Ga-Rin Park1, Kwang-Ryul Baek1

  • 1School of Electric and Electronic Engineering, Pusan National University, Busan 46241, Republic of Korea.

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|October 28, 2023
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Summary

This study addresses edge bleeding artifacts in microscopic 3D sensing using shape from focus. A novel weighted focus measure method significantly reduces these artifacts, improving depth estimation accuracy.

Keywords:
3D sensingdepth estimationedge bleeding artifact reductionmicrostructuresshape from focus

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Area of Science:

  • Microscopy
  • 3D Sensing
  • Computer Vision

Background:

  • Shape from focus (SFF) is a key technique for microscopic 3D sensing.
  • Edge bleeding artifacts in depth estimation are a significant challenge in SFF microscopy.

Purpose of the Study:

  • To analyze the causes of edge bleeding artifacts in SFF microscopy.
  • To propose and evaluate a novel method for reducing these artifacts.

Main Methods:

  • Artifact analysis identified key factors: lens depth of field, object texture, brightness gradients, and object slope.
  • A weighted focus measure value method was developed, utilizing local brightness asymmetry.

Main Results:

  • The proposed method demonstrated significant edge bleeding artifact reduction, up to 60%, across various focus measure operators.
  • Evaluation through simulation and implementation confirmed the method's effectiveness.

Conclusions:

  • The developed method effectively reduces edge bleeding artifacts in SFF microscopy.
  • This technique can be integrated with existing post-processing algorithms for enhanced 3D sensing.