Detection of Ruditapes Philippinarum contaminated by heavy metals based on hyperspectral image and multilayer perceptron

Fu Qiao; Bolin Hao; Yao Liu

doi:10.1117/12.2626415

21 December 2021 Detection of Ruditapes Philippinarum contaminated by heavy metals based on hyperspectral image and multilayer perceptron

Fu Qiao, Bolin Hao, Yao Liu

Author Affiliations +

Proceedings Volume 12156, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021); 121561I (2021) https://doi.org/10.1117/12.2626415
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021), 2021, Sanya, China

Abstract

It is a serious health hazard to humans when ingesting Ruditapes Philippinarum contaminated by heavy metals. Detection of heavy metals contaminated Ruditapes Philippinarum is important and necessary. In this study, hyperspectral image and multilayer perceptron (MLP) were used to rapidly identify Ruditapes Philippinarum contaminated by heavy metals. Hyperspectral images of healthy samples and heavy metals contaminated samples were collected and input to a MLP model to rapidly detect. The experimental results showed that the MLP algorithm was better than other classical algorithms in detecting healthy and contaminated samples of Ruditapes Philippinarum with several performances of indices.

Citation Download Citation

Fu Qiao, Bolin Hao, and Yao Liu "Detection of Ruditapes Philippinarum contaminated by heavy metals based on hyperspectral image and multilayer perceptron", Proc. SPIE 12156, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021), 121561I (21 December 2021); https://doi.org/10.1117/12.2626415

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