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A Nonconservative Flow Field for Robust Variational Image Segmentation

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4 Author(s)
Ghosh, P. ; Dept. of Electr. & Comput. Eng., Univ. of California Santa Barbara, Santa Barbara, CA, USA ; Bertelli, L. ; Sumengen, B. ; Manjunath, B.S.

We introduce a robust image segmentation method based on a variational formulation using edge flow vectors. We demonstrate the nonconservative nature of this flow field, a feature that helps in a better segmentation of objects with concavities. A multiscale version of this method is developed and is shown to improve the localization of the object boundaries. We compare and contrast the proposed method with well known state-of-the-art methods. Detailed experimental results are provided on both synthetic and natural images that demonstrate that the proposed approach is quite competitive.

Published in:

Image Processing, IEEE Transactions on  (Volume:19 ,  Issue: 2 )