TY - GEN
T1 - A new image segmentation and smoothing model
AU - Gao, Song
AU - Bui, Tien D.
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2004
Y1 - 2004
N2 - In this paper, we develop a new segmentation and smoothing model which has many advantages compared to Chan and Vese's active contours model. In our method, the curve evolution partial differential equations (PDEs) for different level set functions are decoupled and solved separately. This decoupling of the motion equations of the level set functions not only speeds up the segmentation process significantly, it also removes the difficulties associated with the initialization of the level sets in Chan and Vese's method. The proposed method can avoid the initial condition problem. Finally, we use in this paper the diffusion equation for denoising and therefore it can deal with very noisy images.
AB - In this paper, we develop a new segmentation and smoothing model which has many advantages compared to Chan and Vese's active contours model. In our method, the curve evolution partial differential equations (PDEs) for different level set functions are decoupled and solved separately. This decoupling of the motion equations of the level set functions not only speeds up the segmentation process significantly, it also removes the difficulties associated with the initialization of the level sets in Chan and Vese's method. The proposed method can avoid the initial condition problem. Finally, we use in this paper the diffusion equation for denoising and therefore it can deal with very noisy images.
UR - http://www.scopus.com/inward/record.url?scp=17144408004&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=17144408004&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:17144408004
SN - 0780383885
T3 - 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
SP - 137
EP - 140
BT - 2004 2nd IEEE International Symposium on Biomedical Imaging
T2 - 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Y2 - 15 April 2004 through 18 April 2004
ER -