A robust positioning algorithm of crosshair center based on grayscale weighting

Juanjuan Ma; Haibo Liu; Yuguo Xia

doi:10.1117/12.3026407

27 March 2024 A robust positioning algorithm of crosshair center based on grayscale weighting

Juanjuan Ma, Haibo Liu, Yuguo Xia

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131054A (2024) https://doi.org/10.1117/12.3026407
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

In this study, the authors propose a robust one-step algorithm to position the center of the crosshair for image measurement based on gray weighting (or gray-squared weighting) (GWRCP, GSWRCP) and axisymmetric straight-line fitting, which is a crucial part of the positioning algorithm. The proposed algorithm is also capable of making robust estimations. The results of simulations to test it showed that error in the GWRCP and GSWRCP was below 0.01 pixels following the addition of different levels of Gaussian noise, and was below 0.05 pixels following the addition of the gross error. The outcomes of examples of its application showed that the GWRCP/GSWRCP with an error smaller than 0.01 pixels exhibited superior resistance to noise and the gross error than the method that involves artificially removing the latter.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Juanjuan Ma, Haibo Liu, and Yuguo Xia "A robust positioning algorithm of crosshair center based on grayscale weighting", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131054A (27 March 2024); https://doi.org/10.1117/12.3026407

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