Results 31 to 40 of about 129,655 (286)

Virtual restoration of the Ghent altarpiece using crack detection and inpainting [PDF]

, 2011
In this paper, we present a new method for virtual restoration of digitized paintings, with the special focus on the Ghent Altarpiece (1432), one of Belgium's greatest masterpieces.
Cornelis, Bruno, Daubechies, Ingrid, De Mey, Marc, Dooms, Ann, Gezels, Emile, Martens, Maximiliaan, Pizurica, Aleksandra, Platisa, Ljiljana, Ruzic, Tijana, Schelkens, Peter   +9 more
core   +1 more source

A comparative study of WPD and EMD for shaft fault diagnosis [PDF]

, 2017
Fault diagnosis of incipient crack failure in rotating shafts allows the detection and identification of performance degradation as early as possible in industrial plants, such as downtime and potential injury to personnel.
Huo, Zhiqiang, Shu, Lei, Zhang, Yu
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

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

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

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

Propagation of surface initiated rolling contact fatigue cracks in bearing Steel [PDF]

, 2016
Surface initiated rolling contact fatigue, leading to a surface failure known as pitting, is a life limiting failure mode in many modern machine elements, particularly rolling element bearings.
Kadiric, A, Olver, A, Rycerz, P
core   +1 more source

Detection Based on Crack Key Point and Deep Convolutional Neural Network

Applied Sciences, 2021
Based on the features of cracks, this research proposes the concept of a crack key point as a method for crack characterization and establishes a model of image crack detection based on the reference anchor points method, named KP-CraNet. Based on ResNet,
Dejiang Wang, Jianji Cheng, Honghao Cai
doaj   +1 more source