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Type recognition of fascicular groups from nerve slice image

Zhong Yingchun1,Luo Peng2 1.Faculty of Automation,Guangdong University of Technology,Guangzhou 510090,China; 2.The First Affiliated Hospital of Sun Yat-sen University,Guangzhou 510080,China  
An approach to recognize types of fascicular groups from nerve slice image by the gray level multi-direction gradient and its 2nd derivative gradient is proposed in this paper.First,some pixels are selected arbitrarily from a slice image and the gray level multi-direction gradient and the 2nd derivative gradient of their neighborhood areas are calculated.Then the frequency and amplitude of the multi-direction gradient and 2nd derivative gradient curves are extracted as the texture features of the arbitrarily selected pixels neighborhood.Second,the algorithm for recognizing the types of fascicular groups in nerve slice image is proposed based on the improved rough K-means clustering.The parameters influencing the recognition results are analyzed.The experimental results show that the approach can not only classify the types of fascicular groups accurately but the recognizing results are unrelated with the parameters,which reflect its good adaptivity.
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