裂细分提取和参数计算的青路面基于图像处理的计算.
Zhongbo Li1, Chao Yin1, Xixuan Zhang1
1School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255049, China.
Sensors (Basel, Switzerland)
|November 25, 2023
概括
本研究介绍了一种用于青路面裂分析的图像处理方法. 它准确地细分,分析和计算长度和宽度等裂纹参数,改进实际的工程应用.
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:
- 道路裂检测对于基础设施维护至关重要.
- 传统的手工方法不足以满足现代需求.
- 以前的自动化方法专注于识别和定位,限制了实际使用.
研究的目的:
- 开发一种先进的图像处理技术,用于青路面裂细分和参数分析.
- 提高自动裂纹检测系统的实际工程应用.
- 创建一个软件系统,用于自动检测裂和参数输出.
主要方法:
- 使用灰度尺度,直方图平衡,中位数过,Sauvola二元化和连接域值进行裂痕配置提取.
- 通过张苏恩稀释算法提取裂纹骨,然后消除噪音.
- 使用图像校准计算物理裂纹参数 (面积,宽度,长度).
主要成果:
- 当地和连接域值有效过噪音,同时保留裂纹细节.
- 张苏恩算法有效地提取了裂骨,并连接域值删除了孤立的噪音.
- 与手动方法相比,拟议的方法精确计算了裂纹参数 (长度,宽度,面积) 在可接受的误差范围内.
结论:
- 开发的图像处理方法为青路面裂分析提供了强大的解决方案.
- 集成的WSPCD1.0系统有助于自动检测裂和参数报告.
- 这项研究对实际道路维护和工程应用做出了重大贡献.
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