Crack Width Measurement Using Unified Image Processing Techniques for Aging Structures

Jeremy A. Argosino, Marie Aila B. Capistrano, Lisette S. Salido, J. Villaverde, A. Paglinawan
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Abstract

Aging structures are structures that have been standing for several years already and even functional until this day. A crack is an early sign for the life prediction of the safety of a structure. The traditional method for monitoring of cracks is by visual inspection which can sometimes lead to data inconsistency. The researchers have proposed a crack recognition and measurement algorithms using several image processing techniques using bilateral filter as well as connected-component labelling and thresholding. Results showed an approximate of 90% in accuracy of crack recognition in the sample photos taken.
基于统一图像处理技术的老化结构裂纹宽度测量
老化结构是已经存在了好几年的结构,甚至直到今天还在发挥作用。裂缝是结构安全寿命预测的早期信号。传统的裂缝监测方法是目测,有时会导致数据不一致。研究人员提出了一种裂纹识别和测量算法,该算法使用了几种图像处理技术,包括双边滤波器以及连接分量标记和阈值。结果表明,在所拍摄的样本照片中,裂纹识别的准确率约为90%。
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