Indexing electron backscatter diffraction patterns with a refined template matching approach

Alex Foden, David Collins, Angus Wilkinson, Ben Britton

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)
64 Downloads (Pure)


Electron backscatter diffraction (EBSD) is a well-established method of characterisation for crystalline materials. Using this technique, we can rapidly acquire and index diffraction patterns to provide phase and orientation information about the crystals on the material surface. The conventional analysis method uses signal processing based on a Hough/Radon transform to index each diffraction pattern. This method is limited to the analysis of simple geometric features and ignores subtle characteristics of diffraction patterns, such as variations in relative band intensities. A second method, developed to address the shortcomings of the Hough/Radon transform, is based on template matching of a test experimental pattern with a large library of potential patterns. In the present work, the template matching approach has been refined with a new cross correlation function that allows for a smaller library and enables a dramatic speed up in pattern indexing. Refinement of the indexed orientation is performed with a follow-up step to allow for small alterations to the best match from the library search. The refined template matching approach is shown to be comparable in accuracy, precision and sensitivity to the Hough based method, even exceeding it in some cases, via the use of simulations and experimental data collected from a silicon single crystal and a deformed α-iron sample. The speed up and pattern refinement approaches should increase the widespread utility of pattern matching approaches.
Original languageEnglish
Article number112845
Number of pages13
Early online date13 Sept 2019
Publication statusPublished - 1 Dec 2019


  • Electron microscopy
  • Computer vision
  • Image processing


Dive into the research topics of 'Indexing electron backscatter diffraction patterns with a refined template matching approach'. Together they form a unique fingerprint.

Cite this