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Computer vision system (CVS) for color and surface oil measurements of durian chips during post-frying

  • Patchimaporn UdomkunEmail author
  • Bhundit Innawong
  • Kitiya Jeepetch
Original Paper
  • 15 Downloads

Abstract

This study aimed to investigate the feasibility of using the computer vision system (CVS) for monitoring color and surface oil content of durian chips during post-frying cooling. The results revealed the browning index values increased with cooling time, while surface oil content decreased. A high linear correlation of browning index as well as surface oil content and cooling time was observed (R2 > 0.92). The image-processing technique can effectively be used to describe browning index and surface oil content of fried durian chips as it yielded a very high correlation (R2 > 0.94). This technology exhibits great potential as a reliable, rapid, consistent, and non-destructive tool for process optimization and quality control of fried products.

Keywords

Browning index Glossy surface area Image analysis Quality control Frying Durian 

Notes

Acknowledgements

The authors gratefully acknowledge the Department of Food Technology, Silpakorn University, and the International Institute of Tropical Agriculture for giving the opportunity to prepare this article.

Compliance with ethical standards

Conflict of interest

The authors have no conflict of interest.

Ethical Approval

This study does not involve any human or animal testing.

References

  1. 1.
    J. Jamradloedluk, A. Nathakaranakule, S. Soponronnarit, S. Prachayawarakorn, Influences of drying medium and temperature on drying kinetics and quality attributes of durian chip. J. Food Eng. 78(1), 198–205 (2007)CrossRefGoogle Scholar
  2. 2.
    S. Paengkanya, S. Soponronnarit, A. Nathakaranakule, Application of microwaves for drying of durian chips. Food Bioprod. Process. 96, 1–11 (2015)CrossRefGoogle Scholar
  3. 3.
    C. Suwanchote, J. Weerakul, C. Sirisathitkul, M. Nisoa, Color and hardness of durian chips irradiated by controlled low power microwave. Food Sci. Biotechnol. 21, 1767–1770 (2012)CrossRefGoogle Scholar
  4. 4.
    P. Bouchon, J.M. Aguilera, D.L. Pyle, Structure oil-absorption relationships during deep fat frying. J. Food Sci. 68(9), 2711–2716 (2003)CrossRefGoogle Scholar
  5. 5.
    P. Bouchon, D.L. Pyle, Studying oil absorption in restructured potato chips. J. Food Sci. 69(115), 122 (2004)Google Scholar
  6. 6.
    S.P. Kang, A.R. East, F.J. Trujillo, Colour vision system evaluation of bicolor fruits: a case study with ‘B74’ mango. Postharvest Biol. Technol. 49(1), 77–85 (2008)CrossRefGoogle Scholar
  7. 7.
    S. Minaei, S. Kiani, M. Ayyri, M. Ghasemi-Varnamkhasti, A portable computer-vision based expert system for saffron color quality characterization. J. Appl. Res. Med. Aromat. Plants 7, 124–130 (2017)Google Scholar
  8. 8.
    S. Shafiee, S. Minaei, N. Moghaddam-Charkari, M. Varzegar, Honey characterization using computer vision system and artificial neural networks. Food Chem. 159, 143–150 (2014)CrossRefGoogle Scholar
  9. 9.
    I. Tomasevic, V. Tomovic, B. Milovanovic, V. Dordevic, N. Karabasial, I. Djekic, Comparison of a computer vision system vs. traditional colorimeter for color evaluation of meat products with various physical properties. Meat Sci. (2018).  https://doi.org/10.1016/j.meatsci.2018.09.015 Google Scholar
  10. 10.
    F.H. Fan, Q. Ma, J. Ge, Q.Y. Peng, W.W. Riley, S.Z. Tang, Prediction of texture characteristics from extrusion food surface images using a computer vision system and artificial neural networks. J. Food Eng. 118(4), 426–433 (2013)CrossRefGoogle Scholar
  11. 11.
    M. Aghbashlo, S. Hosseinpour, M. Ghasemin-Varnamkhasti, Computer vision technology for real-time food quality assurance during drying process. Trends Food Sci. Technol. 39(1), 76–84 (2014)CrossRefGoogle Scholar
  12. 12.
    J.H. Liu, X. Sun, J.M. Young, L.A. Bachmeier, D.J. Newman, Predicting pork loin intramuscular fat using computer vision system. Meat Sci. 143, 18–23 (2018)CrossRefGoogle Scholar
  13. 13.
    P. Vithu, J.A. Moses, Machine vision system for food grain quality evaluation: a review. Trends Food Sci. Technol. 56, 13–20 (2016)CrossRefGoogle Scholar
  14. 14.
    A. Bhargava, A. Bansal, Fruits and vegetables quality evaluation using computer vision: a review. J. King Saud Univ.-Comput. Inf. Sci. (2018).  https://doi.org/10.1016/j.jksuci.2018.06.002 Google Scholar
  15. 15.
    S. Romani, P. Rocculi, F. Mendoza, M.D. Rosa, Image characterization of potato chip appearance during frying. J. Food Eng. 93, 487–494 (2009)CrossRefGoogle Scholar
  16. 16.
    F. Mendoza, P. Dejmek, J.M. Aguilera, Colour and image texture analysis in classification of commercial potato chips. Food Res. Int. 40, 1146–1154 (2007)CrossRefGoogle Scholar
  17. 17.
    S.N. Subhashree, S. Sunoj, J. Xue, G.C. Bora, Quantification of browning in apples using colour and texture features by image analysis. Food Qual. Saf. 1(3), 221–226 (2017)CrossRefGoogle Scholar
  18. 18.
    F. Mendoza, P. Dejmek, J.M. Aguilera, Calibrated color measurements of agricultural foods using image analysis. Postharvest Biol. Technol. 41(3), 285–295 (2006)CrossRefGoogle Scholar
  19. 19.
    International Telecommunication Union (ITU). (2002). ITU Recommendation BT.709-5Google Scholar
  20. 20.
    J. Rahimi, M. Ngadi, K. Agyare, B. Koehler, Oil spots and moisture pocket re-distributions between crust and core regions of potato strips during post-frying holding. Food Struct. 11, 1–7 (2017)CrossRefGoogle Scholar
  21. 21.
    A. Ghaitaranpour, M. Mohebbi, A. Koocheki, Characterizing the cellular structure of air and deep fat fried doughnut using image analysis techniques. J. Food Eng. 237, 231–239 (2018)CrossRefGoogle Scholar
  22. 22.
    P. Yazdanseta, B.G. Tarzi, M. Gharachroloo, Effect of some hydrocolloids on reducing oil uptake and quality factors of fermented donuts. J. Biodivers. Environ. Sci. 6(2), 233–241 (2015)Google Scholar
  23. 23.
    R.G. Moreira, M.A. Barrufet, A new approach to describe oil absorption in fried foods: a simulation study. J. Food Eng. 35, 1–22 (1998)CrossRefGoogle Scholar
  24. 24.
    S.L. Shyu, L.S. Hwang, Effects of processing conditions on the quality of vacuum fried apple chips. Food Res. Int. 34, 133–142 (2001)CrossRefGoogle Scholar
  25. 25.
    D. Dana, S. Saguy, Review: mechanism of oil uptake during deep-fat frying and the surfactant effect-theory and myth. Adv. Coll. Interface. Sci. 128–130, 267–272 (2006)CrossRefGoogle Scholar
  26. 26.
    E. Troncoso, F. Pedreschi, Modelling water loss and oil uptake during vacuum frying of pre-treated potato slices. LWT-Food Sci. Technol. 42(6), 1164–1173 (2009)CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.International Institute of Tropical Agriculture (IITA)BujumburaBurundi
  2. 2.Department of Food TechnologySilpakorn UniversityNakhon PathomThailand

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