Calibration algorithm for center deviation of rotary tomography imaging

Baosheng Li; Xiang Yue; Yicheng Wang; Shanlin Liu

doi:10.1117/12.2282268

24 October 2017 Calibration algorithm for center deviation of rotary tomography imaging

Baosheng Li; Xiang Yue; Yicheng Wang; Shanlin Liu

Author Affiliations +

Proceedings Volume 10463, AOPC 2017: Space Optics and Earth Imaging and Space Navigation; 1046303 (2017) https://doi.org/10.1117/12.2282268
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China

Abstract

The rotation center of the optical tomography is not strict in the actual device, resulting in the deviation of the rotation center, so that the final projection image reconstruction effect is not ideal. The method proposed in this paper introduces the sampling and fitting circle method on the basis of the original projection sinusoidal center calibration method, makes a preliminary calibration of the rotation center and makes it more accurate with the gradient operator after the center of the projection sinusoid is positioned. A further central calibration of the object imaging in the optical path transmission is made at the center of the detector target surface according to the gradient. Experiments show that the center position of this method is more accurate than the original sinusoidal calibration and has a reliable basis. Using the gradient operator to judge the effective image clarity, the final reconstructed image also has high resolution and anti-jamming. The feature recognition rate of the image has greatly improved. The experimental results have made a great contribution to obtaining clear and effective information.

Citation Download Citation

Baosheng Li, Baosheng Li, Xiang Yue, Xiang Yue, Yicheng Wang, Yicheng Wang, Shanlin Liu, Shanlin Liu, } "Calibration algorithm for center deviation of rotary tomography imaging", Proc. SPIE 10463, AOPC 2017: Space Optics and Earth Imaging and Space Navigation, 1046303 (24 October 2017); doi: 10.1117/12.2282268; https://doi.org/10.1117/12.2282268

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