Medical image retrieval based on low level feature fusion and relevance feedback / 中国医疗器械杂志
Chinese Journal of Medical Instrumentation
;
(6): 170-178, 2008.
Article
in Chinese
| WPRIM
| ID: wpr-309621
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Database Management Systems
/
Diagnostic Imaging
/
Image Enhancement
/
Information Storage and Retrieval
Type of study:
Diagnostic study
Language:
Chinese
Journal:
Chinese Journal of Medical Instrumentation
Year:
2008
Type:
Article
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