Results 31 to 40 of about 131,408 (305)

Scanning laser source and scanning laser detection techniques for different surface crack geometries [PDF]

, 2012
Standard test samples typically contain simulated defects such as slots machined normal to the surface. However, real defects will not always propagate in this manner; for example, rolling contact fatigue on rails propagates at around 25º to the surface,
Clough, A. R., Dutton, B. (Ben), Edwards, R. S. (Rachel S.), Rosli, M. H.   +3 more
core   +1 more source

Multi-Scale Crack Detection and Quantification of Concrete Bridges Based on Aerial Photography and Improved Object Detection Network

Buildings
Regular crack detection is essential for extending the service life of bridges. However, the image data collected during bridge crack inspections are complex to convert into physical information and construct intuitive and comprehensive Three-Dimensional
Liming Zhou, Haowen Jia, Shang Jiang, Fei Xu, Hao Tang, Chao Xiang, Guoqing Wang, Hemin Zheng, Lingkun Chen   +8 more
doaj   +1 more source

Deeper Networks for Pavement Crack Detection [PDF]

, 2017
Pavement crack detection using computer vision techniques has been studied widely over the past several years. However, these techniques have faced several limitations when applied to real world situations due to for example changes of lightning ...
Fuentes, Raul, Hogg, David, Luo, Shan, Pauly, Leo, Peel, Harriet   +4 more
core   +2 more sources

A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning

Advances in Civil Engineering, 2022
During the phase of periodic survey, sealed crack and crack in asphalt pavement surface should be detected accurately. Moreover, the capability of identifying these two defects can help reduce the false-positive rate for pavement crack detection. Because
Nhat-Duc Hoang, Thanh-Canh Huynh, Xuan-Linh Tran, Van-Duc Tran   +3 more
doaj   +1 more source

Bibliometric Analysis and Review of Deep Learning-Based Crack Detection Literature Published between 2010 and 2022

Buildings, 2022
The use of deep learning (DL) in civil inspection, especially in crack detection, has increased over the past years to ensure long-term structural safety and integrity.
Luqman Ali, Fady Alnajjar, Wasif Khan, Mohamed Adel Serhani, Hamad Al Jassmi   +4 more
doaj   +1 more source

Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding

, 2019
Crack is one of the most common road distresses which may pose road safety hazards. Generally, crack detection is performed by either certified inspectors or structural engineers. This task is, however, time-consuming, subjective and labor-intensive.
Bocus, Mohammud Junaid, Cheng, Shanshan, Fan, Rui, Jiao, Jianhao, Liu, Ming, Ma, Fulong, Wang, Li, Zhu, Yilong   +7 more
core   +1 more source

Non-contact ultrasonic detection of angled surface defects [PDF]

, 2011
Non-destructive testing is an important technique, and improvements are constantly needed. Surface defects in metals are not necessarily confined to orientations normal to the sample surface; however, much of the previous work investigating the ...
Clough, A. R., Dutton, B. (Ben), Edwards, R. S. (Rachel S.), Rosli, M. H.   +3 more
core   +1 more source

Coarse–Fine Combined Bridge Crack Detection Based on Deep Learning

Applied Sciences
The crack detection of concrete bridges is an important link in the safety evaluation of bridge structures, and the rapid and accurate identification and detection of bridge cracks is a prerequisite for ensuring the safety and long-term stable use of ...
Kaifeng Ma, Mengshu Hao, Xiang Meng, Jinping Liu, Junzhen Meng, Yabing Xuan   +5 more
doaj   +1 more source

Crack Segmentation Extraction and Parameter Calculation of Asphalt Pavement Based on Image Processing

Sensors, 2023
Crack disease is one of the most serious and common diseases in road detection. Traditional manual methods for measuring crack detection can no longer meet the needs of road crack detection. In previous work, the authors proposed a crack detection method
Zhongbo Li, Chao Yin, Xixuan Zhang
doaj   +1 more source

Pushing the Envelope of Thin Crack Detection

CoRR, 2021
In this study, we consider the problem of detecting cracks from the image of a concrete surface for automated inspection of infrastructure, such as bridges. Its overall accuracy is determined by how accurately thin cracks with sub-pixel widths can be detected.
Liang Xu, Taro Hatsutani, Xing Liu 0010, Engkarat Techapanurak, Han Zou, Takayuki Okatani   +5 more
openaire   +2 more sources