Research on multi-feature medical image recognition based on data fusion
基于多特征融合的医学图像识别研究*

This paper used the medical images as the study object.As the shortcomings of the features of any class can not express the medical images efficiently and in order to improve the recognition rate of the medical images further,proposed a new algorithm.This algorithm was a classification algorithm that combined the feature-level data fusion with the decision-level data fusion.As the results show,using the feature-level data fusion,the fused features can express the medical images better and reduce the computation of the later classification,and using the decision-level data fusion, a higher recognition rate can be got compared with single classifier.