Developing a Machine Vision System Equipped with UV Light to Predict Fish Freshness Based on Fish-Surface Color

• 作者: Qiuhong Liao Chao Wei Ying Li Lin’an Guo Huaxue Ouyang
• 来源期刊: 食品与营养科学(英文)
• 学科: 工学
• 关键词: Fish Freshness Machine Vision UV Light Color Parameters
• 年，卷（期）: 2021,（3）
• 页码范围: 239-248
• 页数: 10页
• 分类号: TP3

摘要

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, images</span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">’</span></span></span><span><span><span><span> 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 (R</span>^{<span>2</span>}<span> = 0.97), followed by the b* (R</span>^{<span>2</span>}<span> = 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.