Neutral beam infrared image distortion correction based on vanishing point detection

Chen Liping; Xu Yongjian; Yu Zichen; Wang Rixin; Peng Xufeng; Xu Yizhen; Yu Ling

doi:10.11884/HPLPB202335.220109

Volume 35 Issue 2

Jan. 2023

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Chen Liping, Xu Yongjian, Yu Zichen, et al. Neutral beam infrared image distortion correction based on vanishing point detection[J]. High Power Laser and Particle Beams, 2023, 35: 029001. doi: 10.11884/HPLPB202335.220109

Citation:

Chen Liping, Xu Yongjian, Yu Zichen, et al. Neutral beam infrared image distortion correction based on vanishing point detection[J]. High Power Laser and Particle Beams, 2023, 35: 029001. doi: 10.11884/HPLPB202335.220109

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Neutral beam infrared image distortion correction based on vanishing point detection

doi: 10.11884/HPLPB202335.220109

Chen Liping^{1, 2
,},
Xu Yongjian^{2
,
,},
Yu Zichen^{1, 2},
Wang Rixin^{2, 3},
Peng Xufeng^{2, 3},
Xu Yizhen^{2, 3},
Yu Ling²

1.
Institute of Physical Science and Information Technology, Anhui University, Hefei 230601, China
2.
Institute of Plasma Physics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
3.
University of Science and Technology of China, Hefei 230026, China

Received Date: 2022-04-14
Accepted Date: 2022-10-24
Rev Recd Date: 2022-09-23

Available Online: 2022-11-14

Publish Date: 2023-01-14

Abstract

Abstract

The key parameters of the neutral beam, such as beam uniformity and beam divergence angle, can be obtained by analyzing the infrared images generated by the beam bombarding the target surface. Due to the camera setup angle, the IR images show geometric distortion, which affects the accurate analysis of the beam parameters. Therefore, so the images should be corrected for the distortion. The traditional Hough transform, canny lines algorithm, and probabilistic Hough transform methods are not effective in detecting straight lines on this image, and there is a problem of detecting discontinuous and incorrect line segments. In this paper, Sobel filter is used to sharpen the infrared image in the horizontal and vertical directions respectively and line segment feature is detected by line segment detector (LSD) algorithm. Then complete straight lines are obtained in the image by clustering and fitting the line segments according to the geometric and angular relationships between them. Vanishing points is calculated by the intersection points of the lines. Finally, the corrected image is obtained based on the perspective relationship. Experiment results prove that this method can achieve automatic and effective correction of neutral beam infrared images and it lays a basis for obtaining key parameters of the beam.
- vanishing point detection,
- linear detection,
- image rectification,
- line segment clustering,
- neutral beam diagnosis

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References(17)

References

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