Radial basis function support vector machine based soft-magnetic ring core inspection

Authors:
Liangjiang Liu;Yaonan Wang
Affiliations:
College of Electrical and Information Engineering, Hunan University, Changsha, China;College of Electrical and Information Engineering, Hunan University, Changsha, China
Venue:
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Year:
2005

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Abstract

A Soft-magnetic ring cores (SMRC) inspection method using radial basis function support vector machine (RBFSVM) was developed. To gain the effective edge character of the SMRC, a sequence of image edge detection algorithms was developed. After edge was detected, feature vector was extracted. Subsequently, principal component analysis (PCA) is applied to reduce the dimension of the feature vector. Finally, RBFSVM is used for classification of SMRC, whose best accuracy in experiments is 97%.