Title:
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LASER SPOT DETECTION AND CHARACTERISTIC
ANALYSIS IN PLASMA INTERACTION SIMULATION |
Author(s):
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Zhiwei Ai, Yi Cao, Huawei Wang and Li Xiao |
ISBN:
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978-989-8704-21-4 |
Editors:
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Yingcai Xiao, Ajith P. Abraham and Jörg Roth |
Year:
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2020 |
Edition:
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Single |
Keywords:
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Laser Profile, Image Processing, Circle Fitting |
Type:
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Full |
First Page:
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27 |
Last Page:
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34 |
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 analysis of beam divergence mechanism during laser plasma propagation is one of the hot topics research. Among
them, laser spot detection and characteristic analysis is one of the important indicators to evaluate the energy distribution
of the exit surface of the propagation system. The channel environmental factors during the plasma laser transmission are
complex and changeable. This scene will cause distortion of the laser spot, making it difficult to achieve spot detection
and precise analysis of characteristics. This paper presents a novel visual analysis method to study the beam divergence
mechanism. First, the dynamic threshold segmentation method is used to analyze the numerical simulation data to
generate a laser spot image. Second, the use of image edge detection technology to achieve spot contour drawing based
on image pixels. The above two key technologies have been applied to the accurately positioning of the spot contour and
the analysis of the spatial distribution characteristics of the spot. Experiments show that this technique is helpful to verify
the correctness of the physical model of the laser plasma interaction simulation program, and is also effective. |
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