TY - JOUR
AU - Ouyang, Huaxue
AB - C., Li, Y., Guo, L.A. and Ouyang, H.X. This study assessed the feasibility of developing a machine vision system (2021) Developing a Machine Vision Sys- tem Equipped with UV Light to Predict equipped with ultraviolet (UV) light, using changes in fish-surface color to Fish Freshness Based on Fish-Surface Col- predict aerobic plate count (APC, a standard freshness indicator) during sto- or. Food and Nutrition Sciences, 12, 239-248. rage. The APC values were tested and images of the fish surface were taken https://doi.org/10.4236/fns.2021.123019 when fish were stored at room temperature. Then, images’ color-space con- Received: January 30, 2021 version among RGB, HSV, and L*a*b* color spaces was carried out and ana- Accepted: March 13, 2021 lyzed. The results revealed that a* and b* values from the UV-light image de- Published: March 16, 2021 creased linearly during storage. A further regression analysis of these two pa- Copyright © 2021 by author(s) and rameters with APC value demonstrated a good exponential relationship be- Scientific Research Publishing Inc. 2 2 tween the a* value and the APC value (R = 0.97), followed by the b* (R = This work is licensed under the Creative 0.85). Therefore, our results suggest that the change in 
TI - Developing a Machine Vision System Equipped with UV Light to Predict Fish Freshness Based on Fish-Surface Color
JF - Food and Nutrition Sciences
DO - 10.4236/fns.2021.123019
DA - 2021-01-01
UR - https://www.deepdyve.com/lp/unpaywall/developing-a-machine-vision-system-equipped-with-uv-light-to-predict-JpBjevEwa0
DP - DeepDyve
ER -