Feature extraction and classification of brain CT image based on sound logic

Abstract

This paper discusses properties of sound logic based on flexible logic. In the practical application of fuzzy decision tree, algorithm of matching operator in the fuzzy decision tree is improved based on sound logic. In order to get the best combination of the features, the algorithm that extracts the shape feature considering the adjacent parts is proposed based on the idea of chart transferring tree in the tree structure comprehensively. Compared with the traditional extracting algorithms which aim at the whole picture or a single part, the experiments by examination and analysis of clinical cases show that the proposed algorithm can obtain a higher diagnostic accuracy.