A method based on relaxation frequency for object recognition

ShiHua Qu; HeJun Jiang; ZhaoPeng Luo; Zhan Wang; FanFu Zheng; KeZhen Xiao; MeiWu Wu

doi:10.1117/12.2674306

28 April 2023 A method based on relaxation frequency for object recognition

ShiHua Qu, HeJun Jiang, ZhaoPeng Luo, Zhan Wang, FanFu Zheng, KeZhen Xiao, MeiWu Wu

Proceedings Volume 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022); 126260R (2023) https://doi.org/10.1117/12.2674306
Event: International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 2022, Zhuhai, China

Abstract

This paper proposes a target recognition technique based on target relaxation frequency parameters. These parameters are calculated from the frequency response observed by multi-frequency magnetic induction. Firstly, we prepare multifrequency response and class labels of various materials. The least-square optimization method calculates the prepared materials' relaxation frequency characteristic parameter matrix. Secondly, the matrix is used in the linear regression method to calculate the regression model's undetermined coefficients. Then the coefficients help us to obtain the class label of the target. Finally, we compare the target label with the prepared class labels to identify the substance type of the target. The results show that the technique proposed in this paper can accurately identify and classify the substance type of the target, and the multi-frequency magnetic induction technology based on relaxation frequency can be applied in substance identification.

Citation Download Citation

ShiHua Qu, HeJun Jiang, ZhaoPeng Luo, Zhan Wang, FanFu Zheng, KeZhen Xiao, and MeiWu Wu "A method based on relaxation frequency for object recognition", Proc. SPIE 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 126260R (28 April 2023); https://doi.org/10.1117/12.2674306

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