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Estimation of fat content in fermented sausages by means of Computer Vision System (CVS).

Authors :
Simunović, Stefan
Rajić, Sara
Đorđević, Vesna
Tomović, Vladimir
Vujadinović, Dragan
Đekić, Ilija
Tomašević, Igor
Source :
Meat Technology. 2021, Vol. 62 Issue 1, p27-32. 6p.
Publication Year :
2021

Abstract

The aim of this study was to investigate the possibility of computer vision system (CVS) application in fat content estimation for different types of fermented sausages. Four different types of local fermented sausages with different fat contents were studied: Njeguška, Kulen, Pirotska and tea sausage. Results obtained for CVS-estimated fat content were compared to the results of traditional chemical analysis. Relative errors of fat content estimation in Njeguška, Kulen, Pirotska and tea sausage were 1.47%, 0.46%, 20.84% and 11.19%, respectively. Results of t-test showed a significant (p<0.01) difference between mean fat contents obtained by CVS and chemical analysis in the case of Pirotska sausage. On the other hand, there was no significant (p<0.01) difference between mean fat contents obtained by the two methods for the rest of the analysed sausages. The results indicate CVS has potential for application in the analysis of fat content of fermented sausages. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
24664812
Volume :
62
Issue :
1
Database :
Academic Search Index
Journal :
Meat Technology
Publication Type :
Academic Journal
Accession number :
151731120
Full Text :
https://doi.org/10.18485/meattech.2021.62.1.3