基于裂纹类型的裂纹检测与分类技术综述与分析

Q1 Engineering
Sheerin Sitara N., K. S., Raghuraman. G
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引用次数: 30

摘要

在实时场景中,裂缝在建筑、桥梁、道路、路面、铁路轨道、汽车、隧道和飞机中非常常见。裂缝的存在降低了民用基础设施的价值,因此有必要对裂缝的严重程度进行估计。具有定量分析的裂纹检测和分类技术在发现裂纹的严重程度方面起着重要作用。各种量化指标是长度、宽度和面积。由于技术的快速发展,用于分析的图像数量急剧增加。因此,民用基础设施的裂缝自动检测与分类技术是必不可少的。本文主要研究三个目标:(i)分析各种基于裂纹类型的裂纹检测和分类技术;(ii)实现基于Otsu的裂纹阈值检测方法;(iii)设计所提出的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review and Analysis of Crack Detection and Classification Techniques based on Crack Types
In real time scenario, cracks are very common in building, bridge, road, pavement, railway track, automobile, tunnel and aircraft. The presence of crack diminishes the value of the civil infrastructure and hence it is necessary to estimate the severity of crack. Crack detection and classification techniques with quantitative analysis play a major role in finding the severity of crack. The various quantitative metrics are length, width and area. Due to the rapid development in technology, number of images acquired for analysis is growing enormously. Therefore, automatic crack detection and classification techniques for civil infrastructure are essential. This paper focuses on three objectives: (i) Analysis of various crack detection and classification techniques based on crack types (ii) Implementation of Otsu’s based thresholding method for crack detection (iii) Design of proposed system.
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