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DEFINICIÓN DE CENTROIDES EN PATRONES DE HARTMANN MEDIANTE PROCESAMIENTO DIGITAL DE IMÁGENES

Autores/as

Andrés Fernando Jiménez López

DOI:

https://doi.org/10.24054/rcta.v1i19.1949

Palabras clave:

Centroide, Patrón de Hartmann, mancha, frente de onda

Resumen

Con un sistema óptico que incluye una pantalla con un arreglo de agujeros se muestrea un frente de onda cuando éste, es iluminado con un haz de luz colimado. La reconstrucción del frente de onda refractado se determina con un algoritmo basado en
análisis de Fourier, el cual depende de la detección de centroides de las manchas en la pantalla de observación mediante procesamiento digital de imágenes. El algoritmo desarrollado para la definición de los centroides de los patrones de Hartmann se describe en éste documento.

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Citas

Malacara D., Optical Shop Testing, Second edition,

John Wiley Sons, New York, pp. 367-396,

Platt B., Shack R. History and Principles of Shack-

Hartmann Wavefront Sensing, Journal of

Refractive Surgery, Volume 17, 2001.

Schwiegerling J. Historical Development of the

Shack-Hartmann Wavefront Sensor,

Department of Ophthalmology, University of

Arizona, Tucson, Arizona, 2003.

Malacara D., Optical Shop Testing, Third Edition,

John Wiley Sons, New York, pp. 361-394,

Mahajan V., Optical Imaging and Aberrations. Part

I, Ray Geometrical Optics, SPIE Optical

Engineering Press, ch 3. pp 141-147, 1998.

Southwell W. H., Wavefront estimation from

wavefront slope measurements. J.Opt.Soc.

Am. Vol. 70, No 8,pp 998-1006, 1980.

Yin X., Li X., Zhao L. and Fang Z., Automatic

Centroid Detection for Shack-Hartmann

Wavefront Sensor, IEEE/ASME International

Conference on Advanced Intelligent

Mechatronics. Singapore, July 14-17, 2009.

Chen H. and Rao C., Accuracy analysis on centroid

estimation algorithm limited by photon noise

for point object, Optics Communications, vol.

, 2009, pp. 1526-1530.

Li H., Song H., Rao Ch. and Rao X. Accuracy

analysis of centroid calculated by a modified

center detection algorithm for Shack

Hartmann wavefront sensor, Optics

Communications, vol. 281, 2008, pp. 750-

Baik S., Park S., Kim C., and Cha B., A center

detection algorithm for Shack Hartmann

wavefront sensor Optics Laser Technology,

vol. 39, 2007, pp. 262-267.

Arulmozhivarman P., Praveen L., Ganesan A.

Measurement of moments for centroid

estimation in Shack Hartmann wavefront

sensor a wavelet-based approach and

comparison with other methods, Optik, vol.

, 2006, pp. 82-87.

Olarte O. and Mejía Y. A morphological based

method to calculate the centroid spots of

Hartmann patterns, Optics Communications,

vol. 260, 2006, pp. 87-90.

Liang C., Liao W., Shen J., and Niu S.,

Measurement of Human Eye Aberration,

IEEE, Electrical Engineering, 2009, pp. 3-7.

Van D., Jones R., Noise Effects On Centroid

Tracker Aim Point Estimation. IEEE

Transactions On Aerospace And Electronic

Systems, vol. 24, 1988, pp. 177-185.

Park S. K., Baik S. H., A study on a fast measuring

technique of wavefront using a Shack-

Hartmann sensor, Optics Laser Technology,

, pp. 684- 687, 2002.

Arines J., and Ares J., Significance of thresholding

processing in centroid based gradient

wavefront sensors: effective modulation of

the wavefront derivative, Optics

Communications, vol. 237, pp. 257-266,

Jiang Z., Gong S., and Dai Y., Numerical study of

centroid detection accuracy for Shack-

Hartmann wavefront sensor Optics Laser

Technology, vol. 38, 2006, pp. 614-619.

Jain A. Fundamentals of Digital Image Processing.

Prentice-Hall International. 1989. ISBN:0-13-

-4. pp. 447-570.

González R. y Woods R. Tratamiento Digital de

Imágenes. Addison- Wesley. 1996. ISBN:0-

-62576-8. pp. 447-570.

Yaniv Z. Edge Detection. School of Engineering

and Computer Science. The Hebrew

University, Jerusalem, Israel. 1999. pp. 1-14.

Hobbs P. Building Electro-Optical Systems. John

Wiley Sons, pp 58-60, 2000.

Dhandra B., Malemath V., Mallikarjun H. and

Hegadi R. Skew Detection in Binary Image

Documents Based on Image Dilation and

Region labeling Approach. The 18th

International Conference on Pattern

Recognition. IEEE Computer Society. 0-

-2521-0/06. 2006.

Mejía Y. Hartmann test of small F/# convex

mirrors. Optics Communications 263. 2006.

pp. 1724.

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Publicado

2022-11-08

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Cómo citar

Jiménez López, A. F. (2022). DEFINICIÓN DE CENTROIDES EN PATRONES DE HARTMANN MEDIANTE PROCESAMIENTO DIGITAL DE IMÁGENES. REVISTA COLOMBIANA DE TECNOLOGIAS DE AVANZADA (RCTA), 1(19). https://doi.org/10.24054/rcta.v1i19.1949