A nonconservative flow field for robust variational image segmentation.
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- Record sourced from PubMed, PMID 20083453.
- Also identified by DOI 10.1109/TIP.2009.2033983.
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Abstract
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.