A Nonconservative Flow Field for Robust Variational Image Segmentation

—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.

• Type: Journal
• Year: 2010
• Where: TIP
• Authors: Pratim Ghosh, Luca Bertelli, Baris Sumengen, B. S. Manjunath
• Keywords: Better Segmentation, Edge flow Vectors, Robust Image Segmentation, TIP 2010