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Radial Basis Function Support Vector Machine Based Soft-Magnetic Ring Core Inspection | SpringerLink
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Radial Basis Function Support Vector Machine Based Soft-Magnetic Ring Core Inspection

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Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3801))

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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%.

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References

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© 2005 Springer-Verlag Berlin Heidelberg

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Liu, L., Wang, Y. (2005). Radial Basis Function Support Vector Machine Based Soft-Magnetic Ring Core Inspection. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_90

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  • DOI: https://doi.org/10.1007/11596448_90

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30818-8

  • Online ISBN: 978-3-540-31599-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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