The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Gradient vector flow: a new external force for snakes
Abstract
Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems associated with initialization and poor convergence to concave boundaries, however, have limited their utility. This paper develops a new external force for active contours, largely solving both problems. This external force, which we call gradient vector flow (GVF) is computed as a diffusion of the gradient vectors of a gray-level or binary edge map derived from the image. The resultant field has a large capture range and forces active contours into concave regions. Examples on simulated images and one real image are presented.
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Cites
Snakes, shapes, and gradient vector flow
Xu, C., & Prince, J. L. (1998) · IEEE Transactions on Image Processing · doi:10.1109/83.661186 · Cited by 4,001
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Snakes, shapes, and gradient vector flow
Xu, C., & Prince, J. L. (1998) · IEEE Transactions on Image Processing · doi:10.1109/83.661186 · Cited by 4,001
Self-citationAutomated Rock Detection and Shape Analysis from Mars Rover Imagery and 3D Point Cloud Data
Di, K., Yue, Z., Liu, Z., & Wang, S. (2013) · Journal of Earth Science · doi:10.1007/s12583-013-0316-3 · Cited by 42
Metadata
- Authors
- Xu, C., & Prince, J. L.
- Venue
- Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-22
- Pages
- 66-71
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2106160885
- Cited by
- 751
- References
- 1
- FWCI
- 24.13
- Type
- conference paper
- Language
- en
- Open access
- closed
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