title: [Medical image retrieval based on low level feature fusion and relevance feedback].
abstract: 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.
authors.affiliation: College of Information Science and Engineering, Ningbo University, Zhejiang Province.
authors.forename: Quan
authors.initials: Q
authors.lastname: Zhang
authors.forename: Xiao-Ying
authors.initials: XY
authors.lastname: Tai
authors.forename: Te-Er
authors.initials: TE
authors.lastname: Ba
authors.forename: Jie-Yu
authors.initials: JY
authors.lastname: Zhao