Shack - Hartmann spot dislocation map determination using an optical flow method

We present a robust, dense, and accurate Shack-Hartmann spot dislocation map determination method based on a regularized optical flow algorithm that does not require obtaining the spot centroids. The method is capable to measure in presence of strong noise, background illumination and spot modulatin...

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Autores:
Vargas, Javier
Restrepo Gómez, René
Belenguer, Tomás
Vargas, Javier
Restrepo Gómez, René
Belenguer, Tomás
Tipo de recurso:
Fecha de publicación:
2014
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
eng
OAI Identifier:
oai:repository.eafit.edu.co:10784/2827
Acceso en línea:
http://hdl.handle.net/10784/2827
Palabra clave:
Óptica adaptativa
Matlab (Programa para computador)
Sensor de Hartmann-Shack
Sensor de Frente de Onda
Microlentes
Flujo óptico
ÓPTICA
INSTRUMENTOS ÓPTICOS
ACROMATISMO
PROCESAMIENTO ÓPTICO DE DATOS
LENTES
PROCESAMIENTO DE IMÁGENES
Optics
Optical instruments
Achromatism
Optical data processing
Lenses
Image processing
Óptica adaptativa
Matlab (Programa para computador)
Sensor de Hartmann-Shack
Sensor de Frente de Onda
Microlentes
Flujo óptico
Rights
License
Acceso abierto
Description
Summary:We present a robust, dense, and accurate Shack-Hartmann spot dislocation map determination method based on a regularized optical flow algorithm that does not require obtaining the spot centroids. The method is capable to measure in presence of strong noise, background illumination and spot modulating signals, which are typical limiting factors of traditional centroid detection algorithms. Moreover, the proposed approach is able to face cases where some of the reference beam spots have not a corresponding one in the distorted Hartmann diagram, and it can expand the dynamic range of the Shack-Hartmann sensor unwrapping the obtained dense dislocation maps. We have tested the algorithm with both simulations and experimental data obtaining satisfactory results. A complete MATLAB package that can reproduce all the results can be downloaded from [http://goo.gl/XbZVOr].