Review of surface defect detection of steel products based on machine vision

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[66]  Ke Xu,et al.  Application of Hidden Markov Tree Model to On-line Detection of Surface Defects for Steel Strips , 2013 .

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[68]  Yuanxiang Li,et al.  Classification of defects in steel strip surface based on multiclass support vector machine , 2014, Multimedia Tools and Applications.

[69]  Chang-hou Lu,et al.  A local annular contrast based real-time inspection algorithm for steel bar surface defects , 2012 .

[70]  Ke Xu,et al.  Application of Fractal Dimension Feature to Recognition of Surface Defects on Hot-Rolled Strips , 2012 .

[71]  B. Suvdaa,et al.  Steel Surface Defects Detection and Classification Using SIFT and Voting Strategy , 2012 .

[72]  Wu Bin Li,et al.  Review of Vision Real-Time Inspection Algorithm for Rolling Steel Surface Defects , 2011 .

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[74]  Hou Yu,et al.  Feature Dimensions Reduction and Its Optimization for Steel Strip Surface Defect Based on Genetic Algorithm , 2011 .

[75]  Xiaoming Liu,et al.  Real-Time Steel Inspection System Based on Support Vector Machine and Multiple Kernel Learning , 2011 .

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[83]  SungHoo Choi,et al.  Real-time vision-based defect inspection for high-speed steel products , 2008 .

[84]  Xianghua Xie,et al.  A Review of Recent Advances in Surface Defect Detection using Texture analysis Techniques , 2008 .

[85]  Zhao Jie Image denoising method on surface of steel strip based on partial differential equations , 2008 .

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[87]  Youngsu Park,et al.  Real-Time Defects Detection Algorithm for High-Speed Steel Bar in Coil , 2007 .

[88]  Peng Tie-Gen Application of the Mean shift algorithm in steel strip image segmentation , 2007 .

[89]  Lijuan Wen Feature Extraction Based on Amplitude Spectrum and Moment Invariants and Its Application , 2006 .

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