一个统一的预处理管道,用于在漏洞基础设施表面的耐噪声裂纹细分
1Department of Electrical Engineering, Soonchunhyang University, Asan 31538, Republic of Korea.
Sensors (Basel, Switzerland)
|September 13, 2025
概括
这项研究引入了一种新的预处理管道,以提高湿环境中的裂纹检测. 该方法显著提高了对噪声和表面不规则的准确性和稳定性.
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:
- 湿裂呈现污染和腐蚀造成的视觉扭曲,降低了基于传感器的检测.
- 在潮湿的条件下非线性裂传播使得与背景噪声的区别变得复杂,如污点和低对比度.
研究的目的:
- 提出一个强大的细分框架,并有专门的预处理管道,用于在不利条件下增强裂纹检测.
- 在现实基础设施检查中提高基于视觉的裂纹检测系统的准确性和可靠性.
主要方法:
- 一个预处理管道,包括自适应值,形态操作和连接组件分析.
- 对比度增强技术包括基因图拉伸和对比度有限的自适应基因图平衡.
- 一个背景融合步骤,以强调裂纹特征,同时保持表面质地.
主要成果:
- 拟议的方法在具有挑战性的条件下显著提高了细分性能.
- 达到97.5%的精度,具有强大的抗潮,反射和表面不规则性的强度.
- 在基础设施检查的准确性和可靠性方面取得了显著的改进.
结论:
- 有针对性的预处理对于克服当前裂纹检测系统的局限性至关重要.
- 开发的框架为在视觉复杂和潮湿的环境中检测裂提供了可靠的解决方案.
- 这种方法可以在现实基础设施检查场景中显著提高裂纹检测系统的准确性和可靠性.
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