Gradient Vector Flow Fast Geodesic Active Contours
Abstract
This paper proposes a new front propagation flow for boundary extraction. The proposed framework is inspired by the geodesic active contour model and leads to a paradigm that is relatively free from the initial curve position. Towards this end, it makes use of a recently introduced external boundary force, the gradient vector field that refers to a spatial diffusion of the boundary information. According to the proposed flow, the traditional boundary attraction term is replaced with a new force that guides the propagation to the object boundaries from both sides. This new geometric flow is implemented using a level set approach, thereby allowing dealing naturally with topological changes and important shape deformations. Moreover the level set motion equations are implemented using a recently introduced numerical approximation scheme, the Additive Operator Splitting Schema (AOS) which has a fast convergence rate and stable behavior. Encouraging experimental results are provided using real images.
Cite
Text
Paragios et al. "Gradient Vector Flow Fast Geodesic Active Contours." IEEE/CVF International Conference on Computer Vision, 2001. doi:10.1109/ICCV.2001.10059Markdown
[Paragios et al. "Gradient Vector Flow Fast Geodesic Active Contours." IEEE/CVF International Conference on Computer Vision, 2001.](https://mlanthology.org/iccv/2001/paragios2001iccv-gradient/) doi:10.1109/ICCV.2001.10059BibTeX
@inproceedings{paragios2001iccv-gradient,
title = {{Gradient Vector Flow Fast Geodesic Active Contours}},
author = {Paragios, Nikos and Mellina-Gottardo, Olivier and Ramesh, Visvanathan},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2001},
pages = {67-75},
doi = {10.1109/ICCV.2001.10059},
url = {https://mlanthology.org/iccv/2001/paragios2001iccv-gradient/}
}