Medical image retrieval based on low level feature fusion and relevance feedback.
- Author:
Quan ZHANG
1
;
Xiao-Ying TAI
;
Te-Er BA
;
Jie-Yu ZHAO
Author Information
1. College of Information Science and Engineering, Ningbo University, Zhejiang Province.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Database Management Systems;
Diagnostic Imaging;
Image Enhancement;
Information Storage and Retrieval
- From:
Chinese Journal of Medical Instrumentation
2008;32(3):170-178
- CountryChina
- Language:Chinese
-
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.
