Automatic Crack Detection and Measurement Based on Image Analysis

被引：116

作者：

Lins, Romulo Goncalves ^{[1
]}

Givigi, Sidney N. ^{[1
]}

机构：

[1] Royal Mil Coll Canada, Dept Elect & Comp Engn, Kingston, ON K7K 7B4, Canada

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2016年 / 65卷 / 03期

关键词：

Automation; image analysis; machine vision; maintenance; particle filter; structural engineering;

D O I：

10.1109/TIM.2015.2509278

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Crack detection and measurement in civil structures has been a constant field of research. Conventionally, a technician is responsible to detect and measure cracks in the field. In this paper, a system based on machine vision concepts has been developed with the goal to automate the crack measurement process. Using this method with only a single camera installed in a truck or even in a robot, a sequence of images is processed and the crack dimensions are estimated. The experimental results validate the application of the proposed method for real structures.

引用

页码：583 / 590

页数：8

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