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Influence of Neighborhood Size and Cross-Correlation Peak-Fitting Method on Location Accuracy
María-Baralida Tomás1, Belén Ferrer1, David Mas1
1University Institute of Physics Applied to the Sciences and Technologies, University of Alicante, P.O. Box 99, 03080 Alicante, Spain.
Sensors (Basel, Switzerland)
|November 21, 2020
Summary
Peak-locking error in subpixel resolution techniques can be reduced by analyzing spatial data. Optimizing interpolation and domain size minimizes bias, improving experimental accuracy in object tracking.
Area of Science:
- Optical Metrology
- Image Processing
- Scientific Computing
Background:
- Subpixel resolution is often achieved using cross-correlation and peak interpolation.
- Peak-locking error, a bias towards integer coordinates, limits accuracy in these techniques.
- Existing analyses primarily focus on the Fourier domain.
Purpose of the Study:
- To analyze the peak-locking error in spatial domain.
- To identify factors influencing peak-locking error.
- To propose methods for mitigating this error in object tracking.
Main Methods:
- Spatial domain analysis of correlation functions.
- Investigation of peak interpolant functions and local domain size.
- Evaluation using samples from the DIC Challenge database.
Main Results:
- Peak-locking error can be attributed to non-symmetrical sample distribution.
- Peak interpolant function, domain size, and low-pass filters impact the error.
- Gaussian fitting on a larger domain generally yields the most accurate results.
Conclusions:
- Spatial domain analysis offers an alternative perspective on peak-locking error.
- Careful selection of interpolation methods and domain parameters can minimize bias.
- The study provides practical insights for improving subpixel resolution accuracy.
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