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Proceedings Paper

Peak-locking minimization by three adjustment methods
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Paper Abstract

A technique for obtaining subpixel resolution when tracking through cross-correlation consists of interpolating the obtained function and then refine the peak location. Although the technique provides accurate location results, the peak is always biased towards the closest integer coordinate. This effect is known as peak-locking error and is a major limit to the experimental accuracy of this calculation technique. This error may be different depending on the algorithm used to fit and interpolate the correlation peak but no systematic analysis was found in the literature. In our study we explore the three most common interpolation methods: thin-plate splines, second-order polynomial fit and Gaussian fit together with the influence of the extent of local interpolation area around the peak. Additionally, we have checked the influence of the image blurring on the results, since it is reported as one effective method to reduce the peak-locking error. Finally, the optimal adjustment found is the Gaussian fit with no blur and a neighborhood around the correlation peak of 11x11 pixels.

Paper Details

Date Published: 1 April 2020
PDF: 7 pages
Proc. SPIE 11353, Optics, Photonics and Digital Technologies for Imaging Applications VI, 113531I (1 April 2020); doi: 10.1117/12.2554024
Show Author Affiliations
María Baralida Tomás, Univ. de Alicante (Spain)
David Mas, Univ. de Alicante (Spain)
Belen Ferrer, Univ. de Alicante (Spain)


Published in SPIE Proceedings Vol. 11353:
Optics, Photonics and Digital Technologies for Imaging Applications VI
Peter Schelkens; Tomasz Kozacki, Editor(s)

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