1 November 2010 Comparison of sorting algorithms to increase the range of Hartmann-Shack aberrometry
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J. of Biomedical Optics, 15(6), 067004 (2010). doi:10.1117/1.3516706
Abstract
Recently many software-based approaches have been suggested for improving the range and accuracy of Hartmann-Shack aberrometry. We compare the performance of four representative algorithms, with a focus on aberrometry for the human eye. Algorithms vary in complexity from the simplistic traditional approach to iterative spline extrapolation based on prior spot measurements. Range is assessed for a variety of aberration types in isolation using computer modeling, and also for complex wavefront shapes using a real adaptive optics system. The effects of common sources of error for ocular wavefront sensing are explored. The results show that the simplest possible iterative algorithm produces comparable range and robustness compared to the more complicated algorithms, while keeping processing time minimal to afford real-time analysis.
Phillip Bedggood, Andrew Metha, "Comparison of sorting algorithms to increase the range of Hartmann-Shack aberrometry," Journal of Biomedical Optics 15(6), 067004 (1 November 2010). http://dx.doi.org/10.1117/1.3516706
Submission: Received ; Accepted
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KEYWORDS
Wavefronts

Monochromatic aberrations

Eye

Image processing

MATLAB

Detection and tracking algorithms

Adaptive optics

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