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3D Fast Level Set Image Segmentation Based on Chan-Vese Model

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2 Author(s)
Jianyuan Dong ; Dept. of Electron. & Inf., NorthWestern Polytech. Univ., Xi'an, China ; Chongyang Hao

In this paper, we propose 3D fast level set segmentation base on Chan-Vese Model. Define the signed distance as integers without computation, and creative construct the evolution speed field of surface by the partial differential equation for Chan-Vese model (only the sign is velocity is used), we implement 3D fast level set segmentation without solving partial differential equation. It preserve the advantages of Chan-Vese model that detect objects whose boundaries are not necessarily defined by gradient or without edges. Finally we present some segmentation experiment for 2D and 3D medical image.

Published in:

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Date of Conference:

11-13 June 2009

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