Title:
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IMPROVING THE ACCURACY OF POSITION DETECTION OF POINT LIGHT SOURCES ON DIGITAL IMAGES |
Author(s):
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Thilo Bauer |
ISBN:
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978-972-8924-84-3 |
Editors:
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Yingcai Xiao, Tomaz Amon and Piet Kommers |
Year:
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2009 |
Edition:
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Single |
Keywords:
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Image analysis, position detection, astronomy, astrometry. |
Type:
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Full Paper |
First Page:
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3 |
Last Page:
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14 |
Language:
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English |
Cover:
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Full Contents:
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click to dowload
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Paper Abstract:
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The determination of accurate positions of stars is an essential task to obtain a reference coordinate system for precise
navigation of ships, airplanes, satellites and space crafts. Stellar positions and proper motions will also help to investigate
the structure and evolution of matter in the universe. From astronomical observations systematic errors have been
reported by different authors using different techniques to detect and measure positions of point-light sources from digital
images. An overview of this problem of image processing is given. The relative subpixel deviation will be defined and
described. It provides interesting characteristics independent from the method of position retrieval or point spread
introduced by any image deterioration. The relative subpixel deviation defines the lower limit of the achievable precision
of positions. The function is the error correction term by itself, which yields a new concept of the error correction. A
concept of a new simulation software is presented to further investigate the relative subpixel deviation. Features of the
core framework are: support of different optical systems, sources of noise, and detectors types, like monochrome or color
CCD and CMOS imagers, their pixel geometry, gaps and varying subpixel sensitivity functions. First results from the
simulator software as well as results from new astronomical observations are presented as a proof of concept of the
proposed approach to improve the current limit of position accuracy in the order of a few 1/100 of a pixel. |
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