[Medical image retrieval based on low level feature fusion and relevance feedback].
Based on chest images' features, this paper presents a retrieval method with domination color of partition, gray level co-occurrence matrix and gradient image shape invariant moments, as well as the fusion of them and the technique of relevance feedback. In Windows Vista environment with Visual C + +, a chest image retrieval prototype is implemented and the experiments have proved that this method has a better retrieval effect.
Zhang
Quan
Q
College of Information Science and Engineering, Ningbo University, Zhejiang Province.
Tai
Xiao-Ying
XY
Ba
Te-Er
TE
Zhao
Jie-Yu
JY