Evaluation of Line-Scan Imaging System's Ability to Detect Internal Defects in Tissue Using Improved Monte Carlo Simulation and Optical Density Algorithm

Danni Sun; Qibing Zhu; Min Huang

doi:10.3788/LOP221515

Laser & Optoelectronics Progress, Volume. 60, Issue 12, 1215005(2023)

Evaluation of Line-Scan Imaging System's Ability to Detect Internal Defects in Tissue Using Improved Monte Carlo Simulation and Optical Density Algorithm

Danni Sun, Qibing Zhu^*, and Min Huang

Author Affiliations

Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, Jiangsu, China

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Danni Sun, Qibing Zhu, Min Huang. Evaluation of Line-Scan Imaging System's Ability to Detect Internal Defects in Tissue Using Improved Monte Carlo Simulation and Optical Density Algorithm[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1215005

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Paper Information

Category: Machine Vision

Received: May. 5, 2022

Accepted: Jun. 16, 2022

Published Online: Jun. 1, 2023

The Author Email: Qibing Zhu (zhuqib@163.com)

DOI:10.3788/LOP221515

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology