Hongkun Wu
机构: PhD student in School of Mechanical and Manufacturing Engineering, University of New South Wales
每年引用次数
引用次数
引用: 1,296
H-指数: 17
I10-指数 : 20
出版物: 38
Progress and trend of sensor technology for on-line oil monitoring
TongHai Wu , HongKun Wu , Ying Du , ZhongXiao Peng
Science China Technological Sciences 56 ( 12) 2914 -2926
102
2013
Logarithmic profile mapping multi-scale Retinex for restoration of low illumination images
Ngaiming Kwok , Haiyan Shi , Honkun Wu , Ruowei Li
Ninth International Conference on Graphic and Image Processing (ICGIP 2017) 10615
5
2018
First-Order Difference Bare Bones Particle Swarm Optimizer
Ruowei Li , Yeping Peng , Haiyan Shi , Hongkun Wu
IEEE Access 7 132472 -132491
1
2019
Image De-hazing Based on Polynomial Estimation and Steepest Descent Concept
Shilong Liu , Hongkun Wu , Ruowei Li , Md Arifur Rahman
2017 International Conference on Vision, Image and Signal Processing (ICVISP) 63 -70
2017
Modeling Wear State Evolution Using Real-Time Wear Debris Features
Shuo Wang , Tonghai Wu , Hongkun Wu , Ngaiming Kwok
Tribology Transactions 60 ( 6) 1022 -1032
12
2017
Image Contrast Enhancement Using Weighted Uniform Histogram for Maximum Information
Ngaiming Kwok , Haivan Shi , Ying-Hao Yu , Yeping Peng
international congress on image and signal processing 1 -7
2018
Texture Invariant Image Segmentation via Particle Swarm Optimization
Ruowei Li , Yeping Peng , Hongkun Wu , Xuesong Li
2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) 1 -5
2019
Fusion Based Single Image De-hazing
Shilong Liu , Ngaiming Kwok , Yeping Peng , Ruowei Li
2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) 1 -6
1
2019
Damage detection techniques for wind turbine blades: A review
Ying Du , Shengxi Zhou , Xingjian Jing , Yeping Peng
Mechanical Systems and Signal Processing 141 106445
168
2020
Restoration of low-informative image for robust debris shape measurement in on-line wear debris monitoring
Hongkun Wu , Ruowei Li , Ngai Ming Kwok , Yeping Peng
Mechanical Systems and Signal Processing 114 539 -555
17
2019
Full-life dynamic identification of wear state based on on-line wear debris image features
Tonghai Wu , Yeping Peng , Hongkun Wu , Xiaogang Zhang
Mechanical Systems and Signal Processing 42 ( 1) 404 -414
72
2014
Optimum Color and Contrast Enhancement for Online Ferrography Image Restoration
Lingfeng Yang , Tonghai Wu , Kunpeng Wang , Hongkun Wu
Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems 2 ( 3) 031003
2019
Study on vibration mechanism induced by skidding in pure rolling contact
Chan Xu , Tonghai Wu , Hongbin Yang , Hongkun Wu
Tribology International 154 106669
2021
Machine-learning assisted laser powder bed fusion process optimization for AlSi10Mg: New microstructure description indices and fracture mechanisms
Qian Liu , Hongkun Wu , Moses J. Paul , Peidong He
Acta Materialia 201 316 -328
81
2020
An Optimum Shift-and-Weighted brightness mapping for low-illumination image restoration
Yeping Peng , Haiyan Shi , Hongkun Wu , Ruowei Li
The Imaging Science Journal 67 ( 4) 187 -201
1
2019
Watershed-Based Morphological Separation of Wear Debris Chains for On-Line Ferrograph Analysis
Hongkun Wu , Tonghai Wu , Yeping Peng , Zhongxiao Peng
Tribology Letters 53 ( 2) 411 -420
38
2014
A prototype of on-line extraction and three-dimensional characterisation of wear particle features from video sequence
Hongkun Wu , Ngai Ming Kwok , Sanchi Liu , Tonghai Wu
Wear 368 314 -325
16
2016
Imaged wear debris separation for on-line monitoring using gray level and integrated morphological features
Tonghai Wu , Hongkun Wu , Ying Du , Ngaiming Kwok
Wear 316 ( 1) 19 -29
97
2014
A hybrid search-tree discriminant technique for multivariate wear debris classification
Yeping Peng , Tonghai Wu , Guangzhong Cao , Sudan Huang
Wear 152 -158
28
2017
Restoration of defocused ferrograph images using a large kernel convolutional neural network
Hongkun Wu , Ngai Ming Kwok , Shilong Liu , Ruowei Li
Wear 1740 -1747
14
2019