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

Author:

Gong Rongfen,Chu Maoxiang,Yang Yonghui,Feng Yao

Funder

Liaoning Province Ministry of Education Scientific Study Project

Liaoning Province PhD Start-up Fund

Liaoning Province Natural Fund Project

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference22 articles.

1. Optimization of the recognition of defects in flat steel products with the cost matrices theory;Dupont;NDT E Int.,1997

2. The strip steel surface defects classification method based on weak classifier adaptive enhancement;Yan,2011

3. Detection of surface defects on raw steel blocks using Bayesian network classifiers;Pernkopf;Pattern Anal. Appl.,2004

4. Classification technology for automatic surface defects detection of steel strip based on improved BP algorithm;Peng,2009

5. Enhanced performance for support vector machines as multi-class classifiers in steel surface defects detection;Amid;World Acad. Sci. Eng. Technol.,2012

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