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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xin-ping Deng Chu He Hong Sun |
| Copyright Year | 2010 |
| Description | Author affiliation: Signal Processing Laboratory, Electronic Information School, Wuhan University, Wuhan, China (Xin-ping Deng; Chu He; Hong Sun) |
| Abstract | In this paper, an improved GVF snake model that allows controllable snakes is proposed. Two kinds of extern constraint forces are exploited in the model. The first one can pin specified points on the snake and determine the basic shape of a snake. The second one avoids generating ears during curve evolution. It ensures that the curves are smooth and won't grow in a wrong direction. The improved snakes are employed to close gaps in linear feature extraction since they can fixes the connection points during the deformation and provide smooth linking curves rather than straight lines. The experimental results of ridge (and ravine) extraction and road extraction from real SAR images increase the correctness and quality of extracted results. |
| Starting Page | 2063 |
| Ending Page | 2066 |
| File Size | 396419 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424458974 |
| e-ISBN | 9781424459001 |
| DOI | 10.1109/ICOSP.2010.5655726 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Feature extraction Roads Image edge detection Detectors Ear Pixel Joining processes linear feature extraction snake gradient vector flow (GVF) sythetic apeture radar (SAR) |
| Content Type | Text |
| Resource Type | Article |
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