基于图像的评估方法用于堆叠聚合物的形状质量.
Shaobo Ren1,2, Sheng Zeng3, Yi Zhou3
1School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China.
Sensors (Basel, Switzerland)
|December 11, 2025
概括
本研究引入了一种使用数字图像的自动化方法来评估粗聚合物的形状,从而改善路面质量控制. 这种新技术可以快速客观地评估聚合物的统一性,这对于可持续的道路建设至关重要.
科学领域:
- 土木工程 土木工程是指土木工程.
- 材料科学 材料科学 材料科学
- 计算机视觉 计算机视觉
背景情况:
- 粗的聚合物形状显著影响路面的性能和耐用性.
- 手动的聚合物检查对于散装材料来说是耗时的,主观的,不切实际的.
- 需要客观和自动化的方法来有效地控制聚合物生产的质量.
研究的目的:
- 开发一种基于数字图像的自动化方法,用于评估堆叠粗聚合物的形状.
- 建立一个定量框架来评估总体形态和批量级质量.
- 为了将总体形状的统一性与路面性能指标相关联.
主要方法:
- 图像预处理,包括灰度转换,直方图平衡和高斯过.
- 使用格雷厄姆扫描凸船体算法进行细分和轮重建.
- 提取形态参数以计算形状因子及其标准偏差 (σ).
主要成果:
- 开发了一个新的自动化系统来评估粗聚合物的形状.
- 自动和手动测量之间的平均相对误差低于15%.
- 确定了形状因子标准偏差 (σ) 与整体形状质量之间的强烈相关性,导致了三个质量类别:优秀,好和差.
结论:
- 拟议的基于σ的框架提供了对总体形态的快速,定量和客观评估.
- 这种方法增强了实际的聚合物生产和路面质量控制流程.
- 自动化形状评估对于确保路面系统的耐用性和性能至关重要.
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