Investigation of light propagation in pork tissue applied in multispectral imaging technique by Monte Carlo simulation method

7 pages•Published: July 19, 2023

Huu Tai Duong, Minh Khoi Nguyen, My Ngoc Nguyen Thi, Minh Chau Ta Ngoc, Anh Xuan Nguyen, Anh Tu Tran and Quy Tan Ha

Abstract

Despite the limited knowledge of light propagation in foods, optical techniques are becoming more common in the evaluation of food quality. Using the Monte Carlo technique, we model light propagation in pork tissue in this research. Since then, researchers have been examining how light moves through pork tissue and how multispectral imaging methods may use this information. Light can penetrate deep into the food tissue in the range of wavelength examined in this paper. The purpose of this study is to simulate the signal reception, select the appropriate wavelengths and the signal acquisition mode. The simulation results offer a general structure for system design and the creation of optically based food quality assessment tools.

Keyphrases: light propagation, monte carlo simualtion, multispectral imaging

In: Trung Nghia Tran, Quoc Khai Le, Tich Thien Truong, Thanh Nha Nguyen and Hoang Nhut Huynh (editors). Proceedings of International Symposium on Applied Science 2022, vol 5, pages 36-42.

Links:	https://easychair.org/publications/paper/2wJ1
	https://doi.org/10.29007/spmn

BibTeX entry

@inproceedings{ISAS2022:Investigation_light_propagation_pork,
  author    = {Huu Tai Duong and Minh Khoi Nguyen and My Ngoc Nguyen Thi and Minh Chau Ta Ngoc and Anh Xuan Nguyen and Anh Tu Tran and Quy Tan Ha},
  title     = {Investigation of light propagation in pork tissue applied in multispectral imaging technique by Monte Carlo simulation method},
  booktitle = {Proceedings of International Symposium on Applied Science 2022},
  editor    = {Trung Nghia Tran and Quoc Khai Le and Tich Thien Truong and Thanh Nha Nguyen and Hoang Nhut Huynh},
  series    = {EPiC Series in Engineering},
  volume    = {5},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/2wJ1},
  doi       = {10.29007/spmn},
  pages     = {36-42},
  year      = {2023}}

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