An Improved Directional GVF Snake

Xue Fei Zhang

doi:10.4028/www.scientific.net/AMM.644-650.4501

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650An Improved Directional GVF Snake

An Improved Directional GVF Snake

Abstract:

Gradient Vector Flow (GVF) Snake has been extensively utilized in handling image segmentation and classification problems. However, GVF Snake has a drawback in that it sometimes may fail to stop the snake at weak edges, especially at the locations where a weak edge is very close to a strong one or some noise. To guide the snake toward the appropriate edges, we have added gradient directional information to the external image force to create a “directional snake”. Experiments prove that the new model limits the influence of false edge, avoid the edge leak, and obtains desired segmentation results.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

4501-4504

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.4501

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Online since:

September 2014

Authors:

Xue Fei Zhang*

Keywords:

Directional Information, Gradient Vector Flow, Image Segmentation

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* - Corresponding Author

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