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Related Experiment Video

Updated: Jun 10, 2026

Characterization of Surface Modifications by White Light Interferometry: Applications in Ion Sputtering, Laser Ablation, and Tribology Experiments
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Published on: February 27, 2013

Iteratively-reweighted local model fitting method for adaptive and accurate single-shot surface profiling.

Nozomi Kurihara1, Masashi Sugiyama, Hidemitsu Ogawa

  • 1Tokyo Institute of Technology 2-12-1-W8-74 O-okayama, Meguro-ku, Tokyo, 152-8552, Japan. kurihara@sg.cs.titech.ac.jp

Applied Optics
|August 3, 2010
PubMed
Summary
This summary is machine-generated.

The iteratively-reweighted local model fitting (IRLMF) method enhances surface profiling accuracy by adaptively weighting pixel contributions. This new algorithm improves measurements on complex surfaces where the standard local model fitting assumption is violated.

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Area of Science:

  • Metrology and Surface Science
  • Optical Engineering
  • Computational Imaging

Background:

  • The local model fitting (LMF) method is a single-shot surface profiling technique.
  • LMF assumes local surface flatness for height estimation, which limits accuracy on curved surfaces or steps.

Purpose of the Study:

  • To improve the accuracy of the local model fitting (LMF) method for surface profiling.
  • To address the limitations of LMF in measuring non-flat surfaces.

Main Methods:

  • Propose an iteratively-reweighted local model fitting (IRLMF) algorithm.
  • Weight pixel contributions based on the degree of local flatness assumption satisfaction.
  • Iteratively estimate surface profile to determine weights.

Main Results:

  • The IRLMF method significantly enhances measurement accuracy compared to standard LMF.
  • The algorithm effectively handles curved surfaces and sharp steps.
  • Experimental results demonstrate the excellent performance of IRLMF.

Conclusions:

  • The IRLMF method overcomes the limitations of traditional LMF for surface profiling.
  • Adaptive weighting improves precision on complex topographies.
  • IRLMF offers a robust solution for accurate single-shot surface measurements.