Progress in Agricultural Engineering Sciences
Volume/Issue:
Volume 9: Issue 1
Image processing based method for characterization of the fat/meat ratio and fat distribution of pork and beef samples
Authors:
J. Felfoldi Corvinus University of Budapest Department of Physics and Control 14-16 Somloi str H-1118 Budapest Hungary

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L. Baranyai Corvinus University of Budapest Department of Physics and Control 14-16 Somloi str H-1118 Budapest Hungary

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F. Firtha Corvinus University of Budapest Department of Physics and Control 14-16 Somloi str H-1118 Budapest Hungary

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L. Friedrich Corvinus University of Budapest Dept. of Refrigeration and Livestocks’ Products Technology 44 Menesi str H-1118 Budapest Hungary

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Cs. Balla Corvinus University of Budapest Dept. of Refrigeration and Livestocks’ Products Technology 44 Menesi str H-1118 Budapest Hungary

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Pages:
27–53
Online Publication Date:
29 Nov 2013
Publication Date:
01 Dec 2013
Article Category:
Research Article
DOI:
https://doi.org/10.1556/progress.9.2013.2
Keywords:
meat quality; marbling; image processing
Restricted access

The fat content (fat distribution) of the pork and beef raw material is one of their most important quality characteristics. Image processing methods were applied to provide with quantitative parameters related to these properties. Different hardware tools were tested to select the appropriate imaging alternative. Statistical analysis of the RGB data was performed in order to find appropriate classification function for segmentation. Discriminant analysis of the RGB data of selected image regions (fat-meat-background) resulted in a good segmentation of the fat regions. Classification function was applied on the RGB images of the samples, to identify and measure the regions in question. The fat-meat ratio and textural parameters (entropy, contrast, etc.) were determined. Comparison of the image parameters with the sensory evaluation results showed an encouraging correlation.

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Cover Progress in Agricultural Engineering Sciences
Progress in Agricultural Engineering Sciences
Print ISSN:
1786-335X
Online ISSN:
1787-0321

Senior editors

Editor(s)-in-Chief: Felföldi, József

Chair of the Editorial Board Szendrő, Péter

Editorial Board

  • Beke, János (Szent István University, Faculty of Mechanical Engineerin, Gödöllő – Hungary)
  • Fenyvesi, László (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Szendrő, Péter (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Felföldi, József (Szent István University, Faculty of Food Science, Budapest – Hungary)

 

Advisory Board

  • De Baerdemaeker, Josse (KU Leuven, Faculty of Bioscience Engineering, Leuven - Belgium)
  • Funk, David B. (United States Department of Agriculture | USDA • Grain Inspection, Packers and Stockyards Administration (GIPSA), Kansas City – USA
  • Geyer, Martin (Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department of Horticultural Engineering, Potsdam - Germany)
  • Janik, József (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Kutzbach, Heinz D. (Institut für Agrartechnik, Fg. Grundlagen der Agrartechnik, Universität Hohenheim – Germany)
  • Mizrach, Amos (Institute of Agricultural Engineering. ARO, the Volcani Center, Bet Dagan – Israel)
  • Neményi, Miklós (Széchenyi University, Department of Biosystems and Food Engineering, Győr – Hungary)
  • Schulze-Lammers, Peter (University of Bonn, Institute of Agricultural Engineering (ILT), Bonn – Germany)
  • Sitkei, György (University of Sopron, Institute of Wood Engineering, Sopron – Hungary)
  • Sun, Da-Wen (University College Dublin, School of Biosystems and Food Engineering, Agriculture and Food Science, Dublin – Ireland)
  • Tóth, László (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)

Prof. Felföldi, József
Institute: MATE - Hungarian University of Agriculture and Life Sciences, Institute of Food Science and Technology, Department of Measurements and Process Control
Address: 1118 Budapest Somlói út 14-16
E-mail: felfoldi.jozsef@uni-mate.hu

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2024  
Scopus  
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SJR index 0.378
SJR Q rank Q2

2023  
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CiteScore 1.8
CiteScore rank Q2 (General Agricultural and Biological Sciences)
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SJR index 0.258
SJR Q rank Q3

Progress in Agricultural Engineering Sciences
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Progress in Agricultural Engineering Sciences
Language English
Size B5
Year of
Foundation		 2004
Volumes
per Year		 1
Issues
per Year		 1
Founder Magyar Tudományos Akadémia  
Founder's
Address		 H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 1786-335X (Print)
ISSN 1787-0321 (Online)

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