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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Long Zhao Li Guo Zhengdong Li Yunbi Chen Jinsheng Xie |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Electronic Science and Technology, University of Science and Technology of China, Hefei, China (Long Zhao; Li Guo; Yunbi Chen; Jinsheng Xie) || Staff room of Electronic and Technology, Chongqing Communication College, China (Zhengdong Li) |
| Abstract | We proposed a method for target detection based on coupled shape priors. We resorted to a detection based shape priors, watersheds and coupling in this research. We adopt the watershed to segment image into many cells and formed super-pixels. There is a shape prior of target for the image and the prior is used to evaluate the validity of the formed segmentation. At last, we detected target through searching the optimal coupled region between edge of super-pixels and shape priors. |
| Starting Page | 4746 |
| Ending Page | 4749 |
| File Size | 1022746 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424476169 |
| e-ISBN | 9781424476183 |
| DOI | 10.1109/ICISE.2010.5689479 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-04 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Shape priors Shape Super-pixels Computational modeling Object segmentation Object detection Watersheds Pattern recognition Component Target detection |
| Content Type | Text |
| Resource Type | Article |
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