Research Article
An Image Retrieval Method Based on Content Self-Organized and Interactive
@INPROCEEDINGS{10.1109/CHINACOM.2006.344647, author={Jianmin Zhao and Ping Fu and Bo Xing and Yan Sun and Yang Du}, title={An Image Retrieval Method Based on Content Self-Organized and Interactive}, proceedings={1st International ICST Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2007}, month={4}, keywords={content-based image retrieval (CBIR) fuzzy c-means (FCM) modified fuzzy c-means (MFCM) interactive query (IQ) self-organized structure partition relevance feedback (RF)}, doi={10.1109/CHINACOM.2006.344647} }- Jianmin Zhao
Ping Fu
Bo Xing
Yan Sun
Yang Du
Year: 2007
An Image Retrieval Method Based on Content Self-Organized and Interactive
CHINACOM
IEEE
DOI: 10.1109/CHINACOM.2006.344647
Abstract
How to find the image we need expediently in the tremendous database is one of the most important issues in content-based image retrieval (CBIR). In this paper, we presented an image retrieval system based on image content using fuzzy logic and proposed a new concept on partition the entire database based on content self-organized. In detail, we used modified fuzzy c-means (MFCM) clustering scheme to cluster the database before retrieval and defined a new method to determine the fuzzy weight. To improve the retrieval effectiveness more, this paper also used interactive query (IQ) and presented a new relevance feedback (RF) framework. On all accounts, we designed and implemented a content-based self-organized and interactive retrieval system. Experiments show that it contributes to improving retrieval effectiveness and will be applied in the E-government.
