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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Editor: Franco Gori
  • Vol. 31, Iss. 4 — Apr. 1, 2014
  • pp: 794–801

Improving night sky star image processing algorithm for star sensors

Mohammad Vali Arbabmir, Seyyed Mohammad Mohammadi, Sadegh Salahshour, and Farshad Somayehee  »View Author Affiliations


JOSA A, Vol. 31, Issue 4, pp. 794-801 (2014)
http://dx.doi.org/10.1364/JOSAA.31.000794


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Abstract

In this paper, the night sky star image processing algorithm, consisting of image preprocessing, star pattern recognition, and centroiding steps, is improved. It is shown that the proposed noise reduction approach can preserve more necessary information than other frequently used approaches. It is also shown that the proposed thresholding method unlike commonly used techniques can properly perform image binarization, especially in images with uneven illumination. Moreover, the higher performance rate and lower average centroiding estimation error of near 0.045 for 400 simulated images compared to other algorithms show the high capability of the proposed night sky star image processing algorithm.

© 2014 Optical Society of America

OCIS Codes
(100.0100) Image processing : Image processing
(120.0120) Instrumentation, measurement, and metrology : Instrumentation, measurement, and metrology
(150.0150) Machine vision : Machine vision

ToC Category:
Image Processing

History
Original Manuscript: October 3, 2013
Revised Manuscript: February 15, 2014
Manuscript Accepted: February 16, 2014
Published: March 27, 2014

Citation
Mohammad Vali Arbabmir, Seyyed Mohammad Mohammadi, Sadegh Salahshour, and Farshad Somayehee, "Improving night sky star image processing algorithm for star sensors," J. Opt. Soc. Am. A 31, 794-801 (2014)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-31-4-794

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