Dynamic directional gradient vector flow for snakes
Snakes, or active contour models, have been widely used in image segmentation. However, most present snake models do not discern between positive and negative step edges. In this paper, a new type of dynamic external force for snakes named dynamic directional gradient vector flow (DDGVF) is proposed...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
2009
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| Online Access: | https://hdl.handle.net/10356/90935 http://hdl.handle.net/10220/4585 http://sfxna09.hosted.exlibrisgroup.com:3410/ntu/sfxlcl3?sid=metalib:PUBMED&id=doi:&genre=&isbn=&issn=1057-7149&date=2006&volume=15&issue=6&spage=1563&epage=71&aulast=Cheng&aufirst=%20Jierong&auinit=&title=IEEE%20Trans%20Image%20Process&atitle=Dynamic%20directional%20gradient%20vector%20flow%20for%20snakes%2E |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Snakes, or active contour models, have been widely used in image segmentation. However, most present snake models do not discern between positive and negative step edges. In this paper, a new type of dynamic external force for snakes named dynamic directional gradient vector flow (DDGVF) is proposed that
uses this information for better performance. It makes use of the gradients in both and directions and deals with the external force field for the two directions separately. In snake deformation, the DDGVF field is utilized dynamically according to the orientation of snake in each iteration. Experimental results demonstrate
that the DDGVF snake provides a much better segmentation than GVF snake in situations when edges of different directions are
present which pose confusion for segmentation. |
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