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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shunren Xia Dingfei Ge Weirong Mo Zanchao Zhang |
| Copyright Year | 2005 |
| Description | Author affiliation: Key Lab of BME of Minist. of Educ., Zhejiang Univ., Hangzhou (Shunren Xia) |
| Abstract | Based on the research of low-level visual image features including color clustering, color texture and shape, a new image retrieving method using multi-feature fusion and relevance feedback to retrieval images is proposed. By setting up a prototype system to evaluate the performance of the proposed method, the results illustrate that the method can retrieve endoscopic images more effectively, accurately and quickly than the one based on single feature because of its flexible ability to combine features and interactive relevance feedback |
| Starting Page | 1720 |
| Ending Page | 1723 |
| File Size | 306258 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780387414 |
| DOI | 10.1109/IEMBS.2005.1616776 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-01-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image retrieval Content based retrieval Shape Image databases Feedback Histograms Prototypes Educational technology Color Spatial databases |
| Content Type | Text |
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