Abstract：Brain CT images have good texture features and similar texture angular point positions between them. Thus, a classification algorithm based on K nearest neighbor texture angular points (KAP) directed graph model is put forward to classify medical images. Firstly, the T-Harris method is proposed to extract texture angular points. Then, the KAP directed graph model is presented by using texture angular points and combining the inherent characteristics of medical images. Finally, a medical image classification algorithm based on the KAP directed graph model is proposed. Experimental results show good results of the presented algorithm in time complexity and accuracy.
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2016, Vol. 29 
