Clustering Segmentation of Ferrography Based on Gabor Transform and Fractal Feature
Aiming at the segmentation problem of ferrography,and making full use of ferrography fractal feature,clustering segmentation algorithm that based on Gabor transform and fractal feature was put forward. After being filtered by Gabor filter bank,multi-scale and multi-orientation filtered images were got. Fractal feature of every image was calculated,pulsing grey feature,ferrography feature vector was acquired. In order to decrease the dimension of features greatly and reduce the complexity of computation,the kernel principal component analysis method was used. Then the fuzzy C-means clustering method was employed to achieve ferrography segmentation. At last,example shows that the proposed algorithm can make full use of fractal feature differences between wear particle,wear particle chain and background area,and can segment ferrography quickly and accurately.