图像数据集的牛肉样本与不同的保质期的牛肉样本
Julieta Domínguez-Soberanes1, María T Orvañanos-Guerrero1, Claudia N Sánchez1
1Universidad Panamericana, Facultad de Ingeniería, Aguascalientes, 20296, México.
Data in brief
|September 7, 2023
概括
这项研究在五天内捕获了三块肉 (内,手指节,小腿) 的图像,以分析颜色变化. 经过处理的图像为未来的肉色研究提供了宝贵的数据集.
科学领域:
- 食品科学 食品科学 食品科学
- 图像分析 图像分析
- 农业科学 农业科学
背景情况:
- 肉的颜色是质量和新鲜度的关键指标.
- 客观色彩分析需要标准化的成像技术.
- 耐用期研究通常依赖于视觉评估,这可能是主观的.
研究的目的:
- 为了创建一个标准化的图像数据集的不同肉类切割超过他们的保质期.
- 为准确分析提供经过处理的图像与校准颜色.
- 为未来关于肉色变化的研究奠定基础.
主要方法:
- 收集了第1天和第5天内,手指节和大腿部切口的图像.
- 在受控的照明条件下捕获了60张原始图像.
- 通过颜色校准和肉类细分生成60个处理图像.
主要成果:
- 创建了一个包含120张图像 (60张原始图像,60张处理图像) 的综合数据集.
- 经过处理的图像通过校准和细分显示了增强的颜色精度.
- 数据集在五天内捕捉了肉色的视觉变化.
结论:
- 生成的图像数据集适用于定量肉色分析.
- 标准化的成像和处理对于可靠的保质期研究至关重要.
- 这种资源可以促进对影响肉色的因素的研究.
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