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Indexing electron backscatter diffraction patterns with a refined template matching approach.

A Foden1, D M Collins2, A J Wilkinson3

  • 1Department of Materials, Imperial College London, SW7 2AZ, Londonm, UK.

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|October 7, 2019
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Summary
This summary is machine-generated.

A new template matching method significantly speeds up electron backscatter diffraction (EBSD) pattern indexing for crystalline materials. This refined approach improves efficiency and accuracy for crystal phase and orientation analysis.

Keywords:
Computer visionElectron microscopyImage processing

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Area of Science:

  • Materials Science
  • Crystallography
  • Analytical Chemistry

Background:

  • Electron backscatter diffraction (EBSD) is a standard technique for analyzing crystalline materials.
  • Conventional EBSD pattern indexing relies on Hough/Radon transforms, which have limitations in analyzing complex diffraction patterns and subtle features like band intensities.

Purpose of the Study:

  • To refine the template matching approach for EBSD pattern indexing.
  • To enhance the speed and accuracy of indexing compared to traditional methods.

Main Methods:

  • Developed a refined template matching approach using a novel cross-correlation function.
  • Implemented a follow-up step for refining indexed orientation based on library search matches.
  • Validated the method using simulations and experimental data from silicon and deformed α-iron.

Main Results:

  • The refined template matching method achieved a dramatic speed-up in pattern indexing.
  • The approach demonstrated comparable accuracy, precision, and sensitivity to Hough-based methods, exceeding them in certain aspects.
  • The method effectively utilizes subtle diffraction pattern characteristics, such as relative band intensities.

Conclusions:

  • The refined template matching approach offers a significant advancement in EBSD data analysis.
  • This method increases the utility of pattern matching for widespread application in materials characterization.
  • The enhanced speed and refinement capabilities make EBSD more accessible and efficient.