期刊
VISUAL COMPUTER
卷 -, 期 -, 页码 -出版社
SPRINGER
DOI: 10.1007/s00371-022-02756-z
关键词
Spot size; Kalman filter; Prior information; Environmental factors
In this paper, we propose improved Kalman filter algorithms (IKF) with prior information to reduce the negative influence of noise on the spot size in laser-quality detection. The filtering process and the method of determining the initial filter value are also provided. Experimental results on synthetic and real-world datasets show that the proposed IKF outperforms compared methods.
Spot size is an important parameter in laser-quality detection. However, the size of the spot is easily affected by environmental factors such as light. In this paper, we propose improved Kalman filter algorithms (IKF) with prior information to reduce the negative influence of noise on the spot size. At the same time, the filtering process and the method of determining the initial filter value are given. Finally, the experimental results on the synthetic dataset and real-world dataset confirm that the proposed IKF performs better than the compared methods.
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