Possibilities for computer-based assessment the quality indicators of Kashkaval cheese using image processing

As a popular type of cheese in the Balkan Peninsula, Kashkaval cheese is an object of various researches related to its quality and safety. Many studies are performed to provide more objective techniques for sensory evaluation variety of cheese using computer-based technologies. Thus, the current study supports this trend by evaluating the potential for quality assessment of Kashkaval cheese using image processing. The current study presents two open-source software products – ImageJ and Scilab and their functionalities that are applied for image analysis of three samples of Kashkaval cheese, which are produced using different sodium chloride content. The cheese samples are also evaluated using a traditional procedure for sensory evaluation and these results are compared with results received by image processing. Specific structural elements with color, which is very similar to the color of the main cheese matter are effectively detected using different methods for edge detection in Scilab, and using analysis of luminance in ImageJ. Another observation indicates that the color of cheese samples could be effectively evaluated using ImageJ or Scilab. In conclusion, it could be noticed that open-source software products for image processing Scilab and ImageJ could be utilized for the quality evaluation of Kashkaval cheese to support the assessment of the visual quality characteristics.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-04-01
DOI
https://doi.org/10.1051/bioconf/202517003009/pdf
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
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article

Possibilities for computer-based assessment the quality indicators of Kashkaval cheese using image processing

Alexandar Balabanov, Angel Danev, Hristina Andreeva, Atanaska Bosakova-Ardenska et al.
Springer Link (Chiba Institute of Technology)
Spectroscopy and Chemometric Analyses
article

Possibilities for computer-based assessment the quality indicators of Kashkaval cheese using image processing

Alexandar Balabanov, Angel Danev, Hristina Andreeva, Atanaska Bosakova-Ardenska, Galin Ivanov, Tatyana Balabanova
article en

Abstract

As a popular type of cheese in the Balkan Peninsula, Kashkaval cheese is an object of various researches related to its quality and safety. Many studies are performed to provide more objective techniques for sensory evaluation variety of cheese using computer-based technologies. Thus, the current study supports this trend by evaluating the potential for quality assessment of Kashkaval cheese using image processing. The current study presents two open-source software products – ImageJ and Scilab and their functionalities that are applied for image analysis of three samples of Kashkaval cheese, which are produced using different sodium chloride content. The cheese samples are also evaluated using a traditional procedure for sensory evaluation and these results are compared with results received by image processing. Specific structural elements with color, which is very similar to the color of the main cheese matter are effectively detected using different methods for edge detection in Scilab, and using analysis of luminance in ImageJ. Another observation indicates that the color of cheese samples could be effectively evaluated using ImageJ or Scilab. In conclusion, it could be noticed that open-source software products for image processing Scilab and ImageJ could be utilized for the quality evaluation of Kashkaval cheese to support the assessment of the visual quality characteristics.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 41%
Spectroscopy and Chemometric Analyses
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