Gong, Rongfen

Steel surface defects recognition based on multi-type statistical features and enhanced twin support vector machine

Chu, M., Gong, R., Gao, S., & Zhao, J. (2017) · Chemometrics and Intelligent Laboratory Systems

Industrial Vision Systems and Defect DetectionNon-Destructive Testing Techniques

Cited by 97

Steel surface defect classification using multiple hyper-spheres support vector machine with additional information

Gong, R., Wu, C., & Chu, M. (2018) · Chemometrics and Intelligent Laboratory Systems

Industrial Vision Systems and Defect DetectionNon-Destructive Testing Techniques

Cited by 44

Invariant Feature Extraction Method Based on Smoothed Local Binary Pattern for Strip Steel Surface Defect

Chu, M., & Gong, R. (2015) · ISIJ International

Industrial Vision Systems and Defect DetectionImage Retrieval and Classification Techniques

Cited by 34

A multi-class classifier based on support vector hyper-spheres for steel plate surface defects

Gong, R., Chu, M., Yang, Y., & Feng, Y. (2019) · Chemometrics and Intelligent Laboratory Systems

Industrial Vision Systems and Defect DetectionNon-Destructive Testing Techniques

Cited by 31

The Strip Steel Surface Defect Recognition Based on Multiple Support Vector Hyper-Sphere with Feature and Sample Weights

Gong, R., Wu, C., Chu, M., & Liu, X. (2016) · steel research international

Industrial Vision Systems and Defect DetectionNon-Destructive Testing Techniques

Cited by 7