Convolutional virtual electric field external force for active contours

Authors:
Yuanquan Wang;Yunde Jia
Affiliations:
Tianjin Key Lab of Intelligent Computing and Novel Software Technology, School of Computer Science, Tianjin University of Technology, Tianjin, P.R China;Beijing Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing, P.R.China
Venue:
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Year:
2009

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Abstract

A novel external force called CONvolutional Virtual Electric Field (CONVEF) for active contours is proposed by taking the Virtual Electric Field (VEF) just as a convolution operation and by using modified distance metrics in the convolution kernel The proposed CONVEF method possesses some desirable properties of VEF such as large capture range and being implemented in real-time by using fast Fourier transform Meanwhile, the CONVEF snake provides much better segmentation than VEF snake in terms of noise suppression, C-shape concavity convergence, weak edge preserving, and neighbored objects separation These advantages has been demonstrated and verified on synthetic and real images.