在不同的主观和客观条件下,探索色彩分类与猪肉颜色标准之间的关系
B Uttaro1, S Zawadski1, M Juárez1
1Agriculture and Agri-Food Canada, Lacombe Research and Development Centre, 6000 C & E Trail, Lacombe, AB T4L 1W1, Canada.
Meat science
|September 19, 2024
概括
错误的照明显著影响主观猪肉颜色评分,轻度是关键. 自动评分显示与主观方法的高相关性,表明可靠在线猪肉颜色分类的潜力.
科学领域:
- 食品科学 食品科学 食品科学
- 肉类科学 肉科学
- 测色仪测色仪是一种颜色测量技术.
背景情况:
- 准确的猪肉颜色评估对于质量控制和消费者接受至关重要.
- 主观色彩评分依赖于在特定照明条件下的视觉比较,这可能会引入变化.
- 现有的自动化方法可能无法完全考虑照明变化或动态颜色变化,如开花.
研究的目的:
- 用不同的标准调查错误照明对主观猪肉颜色评分的影响.
- 将主观评分与基于图像的自动评分方法进行比较.
- 评估自动在线猪肉颜色分类的潜力.
主要方法:
- 在使用日本,加拿大和柯达灰色标准的各种照明条件下对猪肉的主观颜色评分.
- 基于图像的自动评分使用全彩和灰度图像.
- 主观和自动评分方法之间的相关性分析.
- 在开花过程中对自动色彩分类的分析.
主要成果:
- 在主观评分中,轻度是一个比颜色匹配准确度更关键的因素.
- 与加拿大标准的主观和自动评分显示出强烈的相关性 (0.71-0.77).
- 对全彩和灰度图像的自动评分高度相关 (r=0.83).
- 自动色彩分类在开花期间暴露在空气中1分钟后显示出可靠的结果.
结论:
- 照明条件显著影响主观猪肉颜色评估.
- 自动化色彩评分系统显示出高可靠性和与主观评估有很强的相关性.
- 猪肉以颜色进行在线自动分类是可行的,并且可以在行业范围内实现.
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