Comparison of sorting algorithms to increase the range of Hartmann-Shack aberrometry

Abstract

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. C 2010 Society of Photo-Optical Instrumentation Engineers.

Enlarge the dynamic range of Shack-Hartmann Wavefront sensor based on biplanar image acquisition and segmentation methods.

“…In the case of a slight wavefront distortion, each spot is located in its corresponding sub-aperture, its centroid position can be calculated using the centroid algorithm, and the spot deviation can then be obtained by comparing it to a reference [9]. However, when the wavefront distortion is large, the SHWS's centroid may be offset to an adjacent sub-aperture, resulting in inaccurate In this research, we propose a new method to overcome the challenges mentioned above, which involves biplanar image acquisition and segmentation method, this approach requires a different algorithm, which involves introducing an additional measurement plane and redefining the grid window for spot segmentation.…”