Cargando…

Multispectral Fluorescence Imaging Technique for On-Line Inspection of Fecal Residues on Poultry Carcasses

Rapid and reliable inspection of food is essential to ensure food safety, particularly in mass production and processing environments. Many studies have focused on spectral imaging for poultry inspection; however, no research has explored the use of multispectral fluorescence imaging (MFI) for on-li...

Descripción completa

Detalles Bibliográficos
Autores principales: Seo, Youngwook, Lee, Hoonsoo, Mo, Changyeun, Kim, Moon S., Baek, Insuck, Lee, Jayoung, Cho, Byoung-Kwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720503/
https://www.ncbi.nlm.nih.gov/pubmed/31395841
http://dx.doi.org/10.3390/s19163483
_version_ 1783448142296907776
author Seo, Youngwook
Lee, Hoonsoo
Mo, Changyeun
Kim, Moon S.
Baek, Insuck
Lee, Jayoung
Cho, Byoung-Kwan
author_facet Seo, Youngwook
Lee, Hoonsoo
Mo, Changyeun
Kim, Moon S.
Baek, Insuck
Lee, Jayoung
Cho, Byoung-Kwan
author_sort Seo, Youngwook
collection PubMed
description Rapid and reliable inspection of food is essential to ensure food safety, particularly in mass production and processing environments. Many studies have focused on spectral imaging for poultry inspection; however, no research has explored the use of multispectral fluorescence imaging (MFI) for on-line poultry inspection. In this study, the feasibility of MFI for on-line detection of fecal matter from the ceca, colon, duodenum, and small intestine of poultry carcasses was investigated for the first time. A multispectral line-scan fluorescence imaging system was integrated with a commercial poultry conveying system, and the images of chicken carcasses with fecal contaminants were scanned at processing line speeds of one, three, and five birds per second. To develop an optimal detection and classification algorithm to distinguish upper and lower feces-contaminated parts from skin, the principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) were first performed using the spectral data of the selected regions, and then applied in spatial domain to visualize the feces-contaminated area based on binary images. Our results demonstrated that for the spectral data analysis, both the PCA and PLS-DA can distinguish the high and low feces-contaminated area from normal skin; however, the PCA analysis based on selected band ratio images (F630 nm/F600 nm) exhibited better visualization and discrimination of feces-contaminated area, compared with the PLS-DA-based developed chemical images. A color image analysis using histogram equalization, sharpening, median filter, and threshold value (1) demonstrated 78% accuracy. Thus, the MFI system can be developed utilizing the two band ratios for on-line implementation for the effective detection of fecal contamination on chicken carcasses.
format Online
Article
Text
id pubmed-6720503
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-67205032019-09-10 Multispectral Fluorescence Imaging Technique for On-Line Inspection of Fecal Residues on Poultry Carcasses Seo, Youngwook Lee, Hoonsoo Mo, Changyeun Kim, Moon S. Baek, Insuck Lee, Jayoung Cho, Byoung-Kwan Sensors (Basel) Article Rapid and reliable inspection of food is essential to ensure food safety, particularly in mass production and processing environments. Many studies have focused on spectral imaging for poultry inspection; however, no research has explored the use of multispectral fluorescence imaging (MFI) for on-line poultry inspection. In this study, the feasibility of MFI for on-line detection of fecal matter from the ceca, colon, duodenum, and small intestine of poultry carcasses was investigated for the first time. A multispectral line-scan fluorescence imaging system was integrated with a commercial poultry conveying system, and the images of chicken carcasses with fecal contaminants were scanned at processing line speeds of one, three, and five birds per second. To develop an optimal detection and classification algorithm to distinguish upper and lower feces-contaminated parts from skin, the principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) were first performed using the spectral data of the selected regions, and then applied in spatial domain to visualize the feces-contaminated area based on binary images. Our results demonstrated that for the spectral data analysis, both the PCA and PLS-DA can distinguish the high and low feces-contaminated area from normal skin; however, the PCA analysis based on selected band ratio images (F630 nm/F600 nm) exhibited better visualization and discrimination of feces-contaminated area, compared with the PLS-DA-based developed chemical images. A color image analysis using histogram equalization, sharpening, median filter, and threshold value (1) demonstrated 78% accuracy. Thus, the MFI system can be developed utilizing the two band ratios for on-line implementation for the effective detection of fecal contamination on chicken carcasses. MDPI 2019-08-09 /pmc/articles/PMC6720503/ /pubmed/31395841 http://dx.doi.org/10.3390/s19163483 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Seo, Youngwook
Lee, Hoonsoo
Mo, Changyeun
Kim, Moon S.
Baek, Insuck
Lee, Jayoung
Cho, Byoung-Kwan
Multispectral Fluorescence Imaging Technique for On-Line Inspection of Fecal Residues on Poultry Carcasses
title Multispectral Fluorescence Imaging Technique for On-Line Inspection of Fecal Residues on Poultry Carcasses
title_full Multispectral Fluorescence Imaging Technique for On-Line Inspection of Fecal Residues on Poultry Carcasses
title_fullStr Multispectral Fluorescence Imaging Technique for On-Line Inspection of Fecal Residues on Poultry Carcasses
title_full_unstemmed Multispectral Fluorescence Imaging Technique for On-Line Inspection of Fecal Residues on Poultry Carcasses
title_short Multispectral Fluorescence Imaging Technique for On-Line Inspection of Fecal Residues on Poultry Carcasses
title_sort multispectral fluorescence imaging technique for on-line inspection of fecal residues on poultry carcasses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720503/
https://www.ncbi.nlm.nih.gov/pubmed/31395841
http://dx.doi.org/10.3390/s19163483
work_keys_str_mv AT seoyoungwook multispectralfluorescenceimagingtechniqueforonlineinspectionoffecalresiduesonpoultrycarcasses
AT leehoonsoo multispectralfluorescenceimagingtechniqueforonlineinspectionoffecalresiduesonpoultrycarcasses
AT mochangyeun multispectralfluorescenceimagingtechniqueforonlineinspectionoffecalresiduesonpoultrycarcasses
AT kimmoons multispectralfluorescenceimagingtechniqueforonlineinspectionoffecalresiduesonpoultrycarcasses
AT baekinsuck multispectralfluorescenceimagingtechniqueforonlineinspectionoffecalresiduesonpoultrycarcasses
AT leejayoung multispectralfluorescenceimagingtechniqueforonlineinspectionoffecalresiduesonpoultrycarcasses
AT chobyoungkwan multispectralfluorescenceimagingtechniqueforonlineinspectionoffecalresiduesonpoultrycarcasses