%0 Journal Article %T Developing a Machine Vision System Equipped with UV Light to Predict Fish Freshness Based on Fish-Surface Color %A Qiuhong Liao %A Chao Wei %A Ying Li %A LinĄŻan Guo %A Huaxue Ouyang %J Food and Nutrition Sciences %P 239-248 %@ 2157-9458 %D 2021 %I Scientific Research Publishing %R 10.4236/fns.2021.123019 %X This study assessed the feasibility of developing a machine vision system equipped with ultraviolet (UV) light, using changes in fish-surface color to predict aerobic plate count (APC, a standard freshness indicator) during storage. The APC values were tested and images of the fish surface were taken when fish were stored at room temperature. Then, imagesĄŻ color-space conversion among RGB, HSV, and L*a*b* color spaces was carried out and analyzed. The results revealed that a* and b* values from the UV-light image decreased linearly during storage. A further regression analysis of these two parameters with APC value demonstrated a good exponential relationship between the a* value and the APC value (R2 = 0.97), followed by the b* (R2 = 0.85). Therefore, our results suggest that the change in color of the fish surface under UV light can be used to assess fish freshness during storage. %K Fish Freshness %K Machine Vision %K UV Light %K Color Parameters %U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=107741