18 November 2013 Hartmann and Hartmann-Shack spot identification and centroid evaluation by a new efficient segmentation and thresholding algorithm
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Proceedings Volume 8785, 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications; 87855Y (2013) https://doi.org/10.1117/12.2027317
Event: 8th Ibero American Optics Meeting/11th Latin American Meeting on Optics, Lasers, and Applications, 2013, Porto, Portugal
Abstract
In this paper, we describe a new method to identify the spots and to obtain the coordinates for the centroids from a Hartmann and Hartmann-Shack screen test when some noise and reflection errors are present using an independent dynamic thresholding method. The proposed algorithm is a robust one, working with almost no interactive operation. It proved to be good for noise removal in the presence of relatively high noise with low and uneven contrast and spot reflections. The process involves the binarization of the image through a thresholding operation. Subsequently, a data segmentation algorithm is used for spot identification. The spot identification and indexing is performed independently. Finally, the coordinates of each centroid are obtained using an appropriate masking for each spot. To test the procedure we used first synthetic images obtained from some specified functions and later we used a Hartmanngram image from a human cornea.
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Geovanni Hernández-Gómez, Geovanni Hernández-Gómez, Zacarías Malacara-Hernández, Zacarías Malacara-Hernández, Daniel Malacara-Hernández, Daniel Malacara-Hernández, Armando Gómez-Vieyra, Armando Gómez-Vieyra, } "Hartmann and Hartmann-Shack spot identification and centroid evaluation by a new efficient segmentation and thresholding algorithm", Proc. SPIE 8785, 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications, 87855Y (18 November 2013); doi: 10.1117/12.2027317; https://doi.org/10.1117/12.2027317
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