Image Analysis to Quantify Weight-length, Weight-area, and Change of Color of Three Commercial Mullidae Species during Cold Storage


JOURNAL OF AQUATIC FOOD PRODUCT TECHNOLOGY, vol.30, no.2, pp.205-216, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 30 Issue: 2
  • Publication Date: 2021
  • Doi Number: 10.1080/10498850.2020.1869877
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, ABI/INFORM, Agricultural & Environmental Science Database, Aquatic Science & Fisheries Abstracts (ASFA), Biotechnology Research Abstracts, CAB Abstracts, Compendex, Environment Index, Food Science & Technology Abstracts, Veterinary Science Database
  • Page Numbers: pp.205-216
  • Keywords: Mullidae species, machine vision, color, lessepsian fish, freshness, storage, weight
  • Akdeniz University Affiliated: Yes


Image analysis was used to quantify weight-length, weight-area, and change of color for three fish caught in the Mediterranean (Red mullet Mullus barbatus, Por's goatfish Upeneus pori, and goldband goatfish Upeneus moluccensis) during 7 days of storage at 4 +/- 1 degrees C. Length-weight data were fitted with a power equation. R-2 ranged from 0.759 to 0.880. U. moluccensis showed an isometric growth, while the others had a negative allometric growth. For the view area (V)-weight relationship, linear and second order polynomial equations were also used in addition to the power equation. The R-2 values for these ranged from 0.895 to 0.952. Average L*, b*, and Delta E values for all fish increased with storage time; but the a* values decreased (P ). The color change index (CCI) of the fish over storage time decreased, suggesting a smoothing of colors. Although its colors changed over time, the yellow band of the goldband goatfish did not change. Correlation of these computer-generated parameters using image analysis would allow quantitative evaluation of fish color with sensory analysis.