Visual Inspection of Food Packaging Paper by X-Ray Fluorescence Spectroscopy Combined with Deep Learning Algorithm

Qi Guo; Hong Jiang; Jinjie Yang; Kenan Wu; Ji Man

doi:10.3788/LOP202259.0434001

Laser & Optoelectronics Progress, Volume. 59, Issue 4, 0434001(2022)

Visual Inspection of Food Packaging Paper by X-Ray Fluorescence Spectroscopy Combined with Deep Learning Algorithm

Qi Guo¹, Hong Jiang^1、*, Jinjie Yang¹, Kenan Wu², and Ji Man³

Author Affiliations

¹Institute of Criminal Investigation, People's Public Security University of China, Beijing 100038, China

²Institute of Computer Science and Technology, Wuhan University of Technology, Wuhan , Hubei 430070, China

³Beijing Huayi Honrizon Technology Co., Ltd., Beijing 100123, China

show less

Abstract Get PDF(in Chinese)

Cited By

Article index updated: Sep. 9, 2025

The article is cited by 5 article(s) CLP online library. (Some content might be in Chinese.)

Tools

Get Citation

Copy Citation Text

Qi Guo, Hong Jiang, Jinjie Yang, Kenan Wu, Ji Man. Visual Inspection of Food Packaging Paper by X-Ray Fluorescence Spectroscopy Combined with Deep Learning Algorithm[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0434001

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: X-Ray Optics

Received: Feb. 5, 2021

Accepted: Apr. 2, 2021

Published Online: Jan. 25, 2022

The Author Email: Hong Jiang (jiangh2001@163.com)

DOI:10.3788/LOP202259.0434001

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology