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Front Matter: Volume 10836

Ruidan Su
2018 2018 International Conference on Image and Video Processing, and Artificial Intelligence  
using a Base 36 numbering system employing both numerals and letters.  ...  SPIE uses a seven-digit CID article numbering system structured as follows:  The first five digits correspond to the SPIE volume number.  The last two digits indicate publication order within the volume  ...  Introduction IMAGE PROCESSING AND APPLICATIONS Metric learning based on outlier sample elimination for person re-identification 10836 04 Multi-exposure image fusion based on sparsity blur feature  ... 
doi:10.1117/12.2516621 fatcat:s4qjw53qhvf6jhkfsdnnhwzymm

Pipeline Leak Detection Systems and Data Fusion: A Survey [article]

Uthman Baroudi, Abdullah Devendiran, Anas Al-Roubaiey
2019 arXiv   pre-print
This paper discusses the state-of-the-art of leak detection systems (LDSs) and data fusion approaches that are applicable to pipeline monitoring.  ...  A comparison of LDSs is performed based on well-defined criteria. We have classified and critically reviewed these techniques.  ...  Acknowledgments The authors would like to acknowledge the support provided by King Abdulaziz City for Science and Technology  ... 
arXiv:1902.03927v1 fatcat:pv324yq6pfh7pgngwgcfupgrku

Intelligent Detection of Steel Defects Based on Improved Split Attention Networks

Zhiqiang Hao, Zhigang Wang, Dongxu Bai, Bo Tao, Xiliang Tong, Baojia Chen
2022 Frontiers in Bioengineering and Biotechnology  
In this paper, based on the feature pyramid network and split attention network, the network is improved and optimised in terms of data enhancement, multi-scale feature fusion and network structure optimisation  ...  Finally, experimental validation proves that the proposed network model has good performance and application prospects in the intelligent detection of steel defects.  ...  Although some algorithms also use multi-scale feature fusion for target detection, they often only use the features of one scale obtained after fusion.  ... 
doi:10.3389/fbioe.2021.810876 pmid:35096796 pmcid:PMC8793735 fatcat:kv2nywwoyfc63cffwnbnjzqcde

A Review of Research on Detection and Evaluation of the Rail Surface Defects

Lei Kou
2022 Acta Polytechnica Hungarica  
The new detection technology can even classify and evaluate the damage, further improving the efficiency of the detection system.  ...  In the article, not only the application of traditional ultrasonic and acceleration detection methods but also contributing computer vision and deep learning to detect defects on the rail surface.  ...  Liu and Wei presented a detection system based on image processing and edge detection to find the defect on the rail surface [41] [42] [43] [44] .  ... 
doi:10.12700/aph.19.3.2022.3.14 fatcat:3ji4ahv6rrc77kfglaee4lprbq

Surface Defect Detection Methods for Industrial Products: A Review

Yajun Chen, Yuanyuan Ding, Fan Zhao, Erhu Zhang, Zhangnan Wu, Linhao Shao
2021 Applied Sciences  
Secondly, the research status of industrial product surface defect detection based on deep learning technology in recent years is discussed from three aspects: supervised method, unsupervised method, and  ...  : texture features, color features, and shape features.  ...  [10] analyzes surface defect detection methods based on deep learning, and then, three key problems of real-time, small samples, and comparison with traditional image processing-based defect detection  ... 
doi:10.3390/app11167657 fatcat:dwqtzyhp2na77gcfjoxeqoi7sm

Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review

Mohsen Azimi, Armin Dadras Eslamlou, Gokhan Pekcan
2020 Sensors  
The procedure and application of vibration-based, vision-based monitoring, along with some of the recent technologies used for SHM, such as sensors, unmanned aerial vehicles (UAVs), etc. are discussed.  ...  The main goal of this paper is to review the latest publications in SHM using emerging DL-based methods and provide readers with an overall understanding of various SHM applications.  ...  Jahanshahi and Masri [104] proposed ML-based models using SVMs for concrete crack detection, based on morphological features.  ... 
doi:10.3390/s20102778 pmid:32414205 pmcid:PMC7294417 fatcat:sl3t5pxt3rhy3adzjgziumvmia

Application of U-Net with Global Convolution Network Module in Computer-Aided Tongue Diagnosis

Meng-Yi Li, Ding-Ju Zhu, Wen Xu, Yu-Jie Lin, Kai-Leung Yung, Andrew W. H. Ip, B. B. Gupta
2021 Journal of Healthcare Engineering  
Among them, how to use computers and deep learning technology to assist in the diagnosis of tongue images and realize intelligent tongue diagnosis has become a major trend.  ...  Tongue crack is an important feature of tongue states.  ...  [27] proposed detection of tongue crack based on distant gradient and prior knowledge. is algorithm uses information of pixel color and gray change fully. Zhang et al.  ... 
doi:10.1155/2021/5853128 pmid:34840700 pmcid:PMC8616653 fatcat:qubyxhpfyzhohji3nilmvqbt2i

Pipeline In-Line Inspection Method, Instrumentation and Data Management

Qiuping Ma, Guiyun Tian, Yanli Zeng, Rui Li, Huadong Song, Zhen Wang, Bin Gao, Kun Zeng
2021 Sensors  
Defects like metal loss, pitting, and cracks destroy the pipeline's integrity and cause serious safety issues. This should be prevented before it occurs to ensure the safe operation of the pipeline.  ...  Single modality or different kinds of integrated NDT system named Pipeline Inspection Gauge (PIG) or un-piggable robotic inspection systems have been developed.  ...  Through feature extraction, feature selection, feature fusion and information fusion, these features are analyzed and fused for condition-based maintenance (CBM) [171] .  ... 
doi:10.3390/s21113862 fatcat:fuzettw7ubeg7ecbom7imjuafe

Recent Advancements in AI-Enabled Smart Electronics Packaging for Structural Health Monitoring

Vinamra Bhushan Sharma, Saurabh Tewari, Susham Biswas, Bharat Lohani, Umakant Dhar Dwivedi, Deepak Dwivedi, Ashutosh Sharma, Jae Pil Jung
2021 Metals  
The integration of SHM with IoT and cloud-based computing is leading us towards the evolution of future smart cities.  ...  Furthermore, current challenges and future perspectives of AI-based SHM systems are also described separately.  ...  [174] executed crack recognition utilizing CornerHarris, a feature-based image recognition technology that uses Haar features and subsequently converts the pictures from color to grayscale.  ... 
doi:10.3390/met11101537 fatcat:wayx7vsxxrekrgpjrzrmxpqswm

Applications of Machine Learning in Process Monitoring and Controls of L-PBF Additive Manufacturing: A Review

Dalia Mahmoud, Marcin Magolon, Jan Boer, M.A Elbestawi, Mohammad Ghayoomi Mohammadi
2021 Applied Sciences  
Then, an extensive comparison of the different ML algorithms used for defect detection in the L-PBF process is presented.  ...  Moreover, integrating machine learning (ML) techniques to analyze the collected sensor data has significantly improved the defect detection process aiming to apply online control.  ...  [157] developed an image-based diagnosis and closed-loop feedback control system for the FDM process.  ... 
doi:10.3390/app112411910 fatcat:5pyumywdqjd3xmvu2nd7j6w56u

Computer Vision Techniques for Automatic Structural Assessment of Underground Pipes

Sunil K. Sinha, Paul W. Fieguth, Maria A. Polak
2003 Computer-Aided Civil and Infrastructure Engineering  
An automatic inspection system using image processing and artificial intelligence techniques can overcome many of these disadvantages and offer asset managers an opportunity to significantly improve quality  ...  filters for detection of surface cracks in the pipeline network.  ...  ., California, for providing the scanned images, and the municipalities and consultants in North America for their valuable input.  ... 
doi:10.1111/1467-8667.00302 fatcat:xbjhijm2nvbpvpvofvalozp6ue

Deep learning in nuclear industry: A survey

Chenwei Tang, Caiyang Yu, Yi Gao, Jianming Chen, Jiaming Yang, Jiuling Lang, Chuan Liu, Ling Zhong, Zhenan He, Jiancheng Lv
2022 Big Data Mining and Analytics  
As a high-tech strategic emerging comprehensive industry, the nuclear industry is committed to the research, production, and processing of nuclear fuel, as well as the development and utilization of nuclear  ...  Finally, we discuss the limitation and unique challenges of deep learning in the nuclear industry and the future direction of the intelligent nuclear industry.  ...  Table 1 1 Comparison of hit rate and processing times of reactor crack detection methods based on machine learning and deep learning.  ... 
doi:10.26599/bdma.2021.9020027 fatcat:g7vcbhx2wfamxdf7ncem37mzsm

The Application of Convolutional Neural Networks (CNNs) to Recognize Defects in 3D-Printed Parts

Hao Wen, Chang Huang, Shengmin Guo
2021 Materials  
In this paper, deep learning-based image analysis is performed for defect (cracks and pores) classification/detection based on SEM images of metallic AM parts.  ...  Three different levels of complexities, namely, defect classification, defect detection and defect image segmentation, are successfully achieved using a simple CNN model, the YOLOv4 model and the Detectron2  ...  In a laser-based AM process, pores are generally formed due to lack of fusion or keyholes, and cracks are usually associated with freezing contraction and microsegregation.  ... 
doi:10.3390/ma14102575 pmid:34063484 pmcid:PMC8156518 fatcat:tkjwmgx7n5b4fdi2mwamgxqixa

Corner Detection of Ceramic Crack Computer VR Image Based on Three-Dimensional Reconstruction Algorithm

Yuyang He
2022 Security and Communication Networks  
The processing flow of this paper improves the automation of image stitching of cracked porcelain, and provides support for image stitching, texture detection, and three-dimensional crack analysis of cracked  ...  Harris corner detection, image registration, and stitching are used to splice the multiple-side image into a complete unfolded image.  ...  Based on some VR image processing systems, this paper designs a set of VR image processing system for detecting inner surface cracks of workpieces.  ... 
doi:10.1155/2022/8720447 doaj:ddb2318027604bd78f9a78079f3eecbd fatcat:4m2twg2gmnen7azp5ai2k5puei

Research on the Railroad Bridge Monitoring Platform Based on the Internet of Things

Ying Sun
2014 International Journal of Control and Automation  
The proposed system achieved the desired purpose of real-time monitoring of railroad bridge safety during test in China Railway Corp.  ...  In this paper, we propose a distributed railway bridge monitoring platform based on the Internet of Things (IOT) to monitoring the state of bridge safety.  ...  Figure 1 . 1 Framework of monitoring system Figure 2 . 2 Data fusion process Figure 3 . 3 A threshold automatic adjustment process based on feedback learning mechanism  ... 
doi:10.14257/ijca.2014.7.1.36 fatcat:igdabeh22fcfhmfbyeh7f2y5sy
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