Boyang Chen
ABSTRACT
Conventional centroid location algorithms are all in two dimensions. In order to solve the problem that the conventional centroid location algorithms are useless when the point spread function is smaller than the size of the detector, the research is about the centroid location algorithm in three dimensions based on big data. By using the time parameter to link the big data of energy received by the detector at different time, not only the single image but the time sequence images are used in the algorithm, based on the geometric theorem, the exact position at the special time is calculated out. It is sure that, the algorithm is very steady when the sample number is enough, that means the phase of the sample point is nothing, and the error of the position got by the algorithm is less than 0.06 pixel when the non-uniformity of the detectors is smaller than 5%, that is usually the upper limit of the non-uniformity of the detector.
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Index Terms
- Centroid location algorithm in three dimensions based on big data
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