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%.
Weitere Kapitel dieses Buchs durch Wischen aufrufen
- Radial Basis Function Support Vector Machine Based Soft-Magnetic Ring Core Inspection
- Springer Berlin Heidelberg