Publication #340

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@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.

[BibTex]

Pratim Ghosh, Luca Bertelli, Baris Sumengen, and B.S. Manjunath,
"A Non-Conservative Flow Field for Robust Variational Image Segmentation"
IEEE Transactions on Image Processing, Sep. 2009.

DB ID: 340, Lab: VRL, Target: Journal, Status: Accepted
Grants: [NSF ITR-0331697] « Look-up more
Subject: [Segmentation] « Look-up more
Project: [ITR] « Look-up more

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