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Correlation Between Visual Assessment and CR 10-14 Color Measurement Devices in Turkish Salmon Fillets

Year 2025, Volume: 10 Issue: 4, 464 - 470, 31.07.2025
https://doi.org/10.35229/jaes.1730463

Abstract

To reduce human errors in color evaluations that may lead to commercial issues, enterprises use color scales and measurement devices. This study presents a comparative evaluation of color measurements made using the SalmoFanTM color scale and the Konica Minolta CR 10 and CR14 Chroma Meter devices. As a result of the study, strong positive/negative correlations were found between the Ea, Eb, and EC values and the color scale values in all color scales, except for 22 color scales. The study also revealed that the non-homogeneous structure of salmon fillet color is a significant barrier in correlating the obtained data.

References

  • Alçiçek, Z., & Balaban, M.Ö. 2012. Development and application of “The Two Image” method for accurate object recognition and color analysis. Journal of Food Engineering, 111, 46-51. DOI: 10.1016/j.jfoodeng.2012.01.031
  • Cai, L., Wu, X., Li, X., Zhong, K., Li, Y., & Li, J. (2014). Effects of different freezing treatments on physicochemical responses and microbial characteristics of Japanese sea bass (Lateolabrax japonicas) fillets during refrigerated storage. LWT–Food Science and Technology, 59, 122-129. DOI: 10.1016/j.lwt.2014.04.062
  • Choubert, G., Blanc, J-M., & Vallde, F. (1997). Colour measurement, using the CIELCH colour space, of muscle of rainbow trout, Oncorhunchus mykiss (Walbaum), fed astaxanthin:effects of family, ploidy, sex, and location of reading. Aquaculture Research, 28, 15-22.
  • Choubert, G., & Baccaunaud, M. (2006). Colour changes of fillets of rainbow trout (Oncorhynchus mykiss W.) fed astaxanthin or canthaxanthin during storage under controlled or modified atmosphere. LWT, 39, 1203-1213.
  • Choi, J., Peters, M., & Mueller, R.O. (2010). Correlation analysis of ordinal data: from Pearson’s r to Bayesian polycoric correlation. Asia Pacific Educ. Rev., 11, 459-466.
  • Cheng, J-H., Sun, D-W., Zeng, X-A., & Liu, D. (2015). Recent advances in methods and techniques for freshness quality determination and evaluation of fish and fish fillets: A review. Critical Reviews in Food Science and Nutrition, 55(7), 1012-1225. DOI: 10.1080/10408398.2013.769934
  • Gümüş, B., Balaban, M.Ö., & Ünlüsayın, M. (2011). Machine vision applications to aquatic foods: A review. Turkish Journal of Fisheries and Aquatic Sciences, 11, 171-181. DOI: 10.4194/trjfas.2011.0124
  • Hassoun, A., & Karoui, R. (2017). Quality evaluation of fish and other seafood by traditional and nondestructive instrumental methods: Advantages and limitations. Critical Reviews in Food Science and Nutrition, 57(9), 1976-1998. DOI: 10.1080/10408398.2015.1047926
  • Keskin, M., Setlek, P., & Demir, S. (2017). Use of Color Measurement Systems in Food Science and Agriculture. Internetional Advanced Research & Engineering Congress Proceeding Book, 16-18 November, Osmaniye/Türkiye, 2350-2359 p.
  • Leon, A.P., Vina, S.Z., Frezza, D., Chaves, A., & Chiesa, A. (2007). Estimation of Chlorophyll Contents by Correlations between SPAD-502 Meter and Chroma Meter in Butterhead Lettuce. Communications in Soil Science and Plant Analysis, 38, 2877-2885. DOI: 10.1080/0010362070163115
  • McGuire, R.G. (1992). Reporting of objective colour measurement. Hortscience, 27, 1254-1255.
  • Origin Scientific Analysis and Graphing Software OriginLab Corporation. (2024). OriginPro.
  • Oliveira, A.C.M., & Balaban, M.O. (2006). Comparison Of A Calorimeter With A Machine Vision System In Measuring Color Of Gulf Of Mexico Sturgeon Fillets. American Society of Agricultural and Biological Engineers, 22(4), 583-587.
  • Öztuna, D., Elhan, A.H., & Kurşun, N. (2008). Sağlık Araştırmalarında Kullanılan İlişki Katsayıları. Türkiye Klinikleri, 28, 160-165.
  • URL1. (2025). https://sensing.konicaminolta.asia/id/what- is-cie-1976-lab-color-space/
  • URL2. (2025). https://wolfcrow.com/what-is-the- difference-between-cie-lab-cie-rgb-cie-xyy-and- cie-xyz/
  • URL3, (2025). https://www.dsm- firmenich.com/anh/products-and services/tools/salmofan.html
  • Üren, A. (1999). Üç Boyutlu Renk Ölçme Yöntemleri. Gıda, 24(3), 1993-200.
  • Sheskin D. (2011). Handbook of Parametric and Nonparametric Statistical Procedures Test, Chapman and Hall/CRC, Fifth Edition, S. 800. Sokal, R.R., & Rohlf, F.J. (1987). Introduction to biostatistics (2nd ed.). Freeman.
  • Skrede, G., Rısvık, E., Huber, M., Enersen, G., & Blümleın, L. (1990). Developing a Color Card for Raw Flesh of Astaxanthin-fed Salmon. Journal of Food Science, 55(2), 361-363.
  • Şengör, Ü.F.G., Balaban, O.M., Topaloğlu, B., Ayvaz, Z., Ceylan, Z., & Doğruyol, H. (2019). Color assessment by different techniques of gilthead seabream (Sparus aurata) during cold storage). Food Sci. Technol., 39(3), 696-703. DOI: 10.1590/fst.02018
  • Wu, D., Sun, D-W., & He, Y. (2012). Application of long- wave near infrared hyperspectral imaging for measurement of color distribution in salmon fillet. Innovative Food Science and Emerging Technologies, 16, 361-372. DOI: 10.1016/j.ifset.2012.08.003
  • Yagiz, Y., Balaban, M.O., Kristinsson, H.G., Welt, B.A., & Marshall, M.R. (2008). Comparison of Minolta colorimeter and machine vision system in measuring colour of irradiated Atlantic salmon. Journal of Science of Food and Agriculture, 89(4): 728-730. https://doi.org/10.1002/jsfa.3467

Türk Somon Filetolarında Görsel Değerlendirme ile CR 10-14 Renk Ölçüm Cihazları Arasındaki Korelasyon

Year 2025, Volume: 10 Issue: 4, 464 - 470, 31.07.2025
https://doi.org/10.35229/jaes.1730463

Abstract

İşletmeler, ticari sorunlara yol açabilecek renk değerlendirmelerindeki insan hatalarını azaltmak için renk skalaları ve ölçüm cihazları kullanmaktadır. Bu çalışmada SalmoFanTM renk skalası ve Konica Minolta CR 10 ve CR14 Kromametre cihazları kullanılarak yapılan renk ölçümlerinin karşılaştırmalı değerlendirmesi sunulmaktadır. Çalışma sonucunda 22 renk skalası hariç tüm renk skalalarında Ea, Eb ve EC değerleri ile renk skalası değerleri arasında güçlü pozitif/negatif korelasyonlar bulunmuştur. Çalışmada ayrıca somon fileto renginin homojen olmayan yapısının elde edilen verilerin ilişkilendirilmesi açısından önemli bir engel olduğu ortaya konulmuştur.

References

  • Alçiçek, Z., & Balaban, M.Ö. 2012. Development and application of “The Two Image” method for accurate object recognition and color analysis. Journal of Food Engineering, 111, 46-51. DOI: 10.1016/j.jfoodeng.2012.01.031
  • Cai, L., Wu, X., Li, X., Zhong, K., Li, Y., & Li, J. (2014). Effects of different freezing treatments on physicochemical responses and microbial characteristics of Japanese sea bass (Lateolabrax japonicas) fillets during refrigerated storage. LWT–Food Science and Technology, 59, 122-129. DOI: 10.1016/j.lwt.2014.04.062
  • Choubert, G., Blanc, J-M., & Vallde, F. (1997). Colour measurement, using the CIELCH colour space, of muscle of rainbow trout, Oncorhunchus mykiss (Walbaum), fed astaxanthin:effects of family, ploidy, sex, and location of reading. Aquaculture Research, 28, 15-22.
  • Choubert, G., & Baccaunaud, M. (2006). Colour changes of fillets of rainbow trout (Oncorhynchus mykiss W.) fed astaxanthin or canthaxanthin during storage under controlled or modified atmosphere. LWT, 39, 1203-1213.
  • Choi, J., Peters, M., & Mueller, R.O. (2010). Correlation analysis of ordinal data: from Pearson’s r to Bayesian polycoric correlation. Asia Pacific Educ. Rev., 11, 459-466.
  • Cheng, J-H., Sun, D-W., Zeng, X-A., & Liu, D. (2015). Recent advances in methods and techniques for freshness quality determination and evaluation of fish and fish fillets: A review. Critical Reviews in Food Science and Nutrition, 55(7), 1012-1225. DOI: 10.1080/10408398.2013.769934
  • Gümüş, B., Balaban, M.Ö., & Ünlüsayın, M. (2011). Machine vision applications to aquatic foods: A review. Turkish Journal of Fisheries and Aquatic Sciences, 11, 171-181. DOI: 10.4194/trjfas.2011.0124
  • Hassoun, A., & Karoui, R. (2017). Quality evaluation of fish and other seafood by traditional and nondestructive instrumental methods: Advantages and limitations. Critical Reviews in Food Science and Nutrition, 57(9), 1976-1998. DOI: 10.1080/10408398.2015.1047926
  • Keskin, M., Setlek, P., & Demir, S. (2017). Use of Color Measurement Systems in Food Science and Agriculture. Internetional Advanced Research & Engineering Congress Proceeding Book, 16-18 November, Osmaniye/Türkiye, 2350-2359 p.
  • Leon, A.P., Vina, S.Z., Frezza, D., Chaves, A., & Chiesa, A. (2007). Estimation of Chlorophyll Contents by Correlations between SPAD-502 Meter and Chroma Meter in Butterhead Lettuce. Communications in Soil Science and Plant Analysis, 38, 2877-2885. DOI: 10.1080/0010362070163115
  • McGuire, R.G. (1992). Reporting of objective colour measurement. Hortscience, 27, 1254-1255.
  • Origin Scientific Analysis and Graphing Software OriginLab Corporation. (2024). OriginPro.
  • Oliveira, A.C.M., & Balaban, M.O. (2006). Comparison Of A Calorimeter With A Machine Vision System In Measuring Color Of Gulf Of Mexico Sturgeon Fillets. American Society of Agricultural and Biological Engineers, 22(4), 583-587.
  • Öztuna, D., Elhan, A.H., & Kurşun, N. (2008). Sağlık Araştırmalarında Kullanılan İlişki Katsayıları. Türkiye Klinikleri, 28, 160-165.
  • URL1. (2025). https://sensing.konicaminolta.asia/id/what- is-cie-1976-lab-color-space/
  • URL2. (2025). https://wolfcrow.com/what-is-the- difference-between-cie-lab-cie-rgb-cie-xyy-and- cie-xyz/
  • URL3, (2025). https://www.dsm- firmenich.com/anh/products-and services/tools/salmofan.html
  • Üren, A. (1999). Üç Boyutlu Renk Ölçme Yöntemleri. Gıda, 24(3), 1993-200.
  • Sheskin D. (2011). Handbook of Parametric and Nonparametric Statistical Procedures Test, Chapman and Hall/CRC, Fifth Edition, S. 800. Sokal, R.R., & Rohlf, F.J. (1987). Introduction to biostatistics (2nd ed.). Freeman.
  • Skrede, G., Rısvık, E., Huber, M., Enersen, G., & Blümleın, L. (1990). Developing a Color Card for Raw Flesh of Astaxanthin-fed Salmon. Journal of Food Science, 55(2), 361-363.
  • Şengör, Ü.F.G., Balaban, O.M., Topaloğlu, B., Ayvaz, Z., Ceylan, Z., & Doğruyol, H. (2019). Color assessment by different techniques of gilthead seabream (Sparus aurata) during cold storage). Food Sci. Technol., 39(3), 696-703. DOI: 10.1590/fst.02018
  • Wu, D., Sun, D-W., & He, Y. (2012). Application of long- wave near infrared hyperspectral imaging for measurement of color distribution in salmon fillet. Innovative Food Science and Emerging Technologies, 16, 361-372. DOI: 10.1016/j.ifset.2012.08.003
  • Yagiz, Y., Balaban, M.O., Kristinsson, H.G., Welt, B.A., & Marshall, M.R. (2008). Comparison of Minolta colorimeter and machine vision system in measuring colour of irradiated Atlantic salmon. Journal of Science of Food and Agriculture, 89(4): 728-730. https://doi.org/10.1002/jsfa.3467
There are 23 citations in total.

Details

Primary Language English
Subjects Fisheries Technologies
Journal Section Articles
Authors

Ayşe Kara 0000-0002-8448-2144

Emre Çağlak 0000-0002-7376-1359

Barış Karslı 0000-0002-3944-6988

Özen Yusuf Öğretmen 0000-0002-1767-2693

Neslihan Öğretmen 0009-0003-3709-2447

Early Pub Date July 22, 2025
Publication Date July 31, 2025
Submission Date June 30, 2025
Acceptance Date July 16, 2025
Published in Issue Year 2025 Volume: 10 Issue: 4

Cite

APA Kara, A., Çağlak, E., Karslı, B., … Öğretmen, Ö. Y. (2025). Correlation Between Visual Assessment and CR 10-14 Color Measurement Devices in Turkish Salmon Fillets. Journal of Anatolian Environmental and Animal Sciences, 10(4), 464-470. https://doi.org/10.35229/jaes.1730463


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