A Non-Conservative Flow Field for Robust Variational Image Segmentation

Pratim Ghosh, Luca Bertelli, Baris Sumengen, and B.S. Manjunath, Department of Electrical and Computer Engineering, University of California, Santa Barbara. pratim [at] ece.ucsb.edu

Abstract

We introduce a robust image segmentation method based on a variational formulation using edge flow vectors. We demonstrate the non-conservative nature of this flow field, a feature that helps in a better segmentation of objects with concavities. A multi-scale 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.
[PDF] [BibTex]
Pratim Ghosh, Luca Bertelli, Baris Sumengen, and B.S. Manjunath,
IEEE Transactions on Image Processing, vol. 19, no. 2, pp. 478-490, Feb. 2010.
Node ID: 533 , DB ID: 340 , Lab: VRL , Target: Journal
Subject: [Image and Video Segmentation] « Look up more