Journal of University of Chinese Academy of Sciences >
An active contour model combining local and global information based on local entropy
Received date: 2013-01-02
Revised date: 2013-02-28
Online published: 2013-11-15
An active contour model, which combines LGDF model and CV model and uses the image entropy, is proposed to solve the problem of sensitivity to the initial contour of the original active contour. First the level set force is defined by a linear combination of the LGDF and CV models incorporating image entropy. Then the weights of the forces are regulated by the local image information. Experiments on blood X-images, noise images, and SAR image show that the proposed method is robust to initialization and less sensitive to noises.
WANG Hai-Jun , LIU Ming , ZHANG Sheng-Yan . An active contour model combining local and global information based on local entropy[J]. Journal of University of Chinese Academy of Sciences, 2013 , 30(6) : 819 -823 . DOI: 10.7523/j.issn.2095-6134.2013.06.016
[1] Wang H J, Liu M. Multiphase brain image segmentation model based on local information[J]. Computer Engineering, 2012,38(7):185-187(in Chinese). 王海军,柳明. 一种基于局部信息的多相脑图分割模型[J]. 计算机工程,2012,38(7):185-187.
[2] Chan T, Vese L. Active contours without edges[J]. IEEE Trans on Image Processing, 2001,10(2):266-277.
[3] Li C H M, Kao C K, Gore J C, et al. Implicit active contours driven by local binary fitting energy[C]//Proceedings of IEEE Conference on Computer Vsion and Pattern Recognition. Washington DC, USA:IEEE Press,2007:1-7.
[4] Wang L, He L, Mishra A, et al. Active contours driven by local Gaussian distribution fitting energy[J]. Signal Processing, 2009,89: 2 435-2 447.
[5] Zhang K H, Song H H, Zhang L. Active contours driven by local image fitting[J]. Pattern Recognization, 2010,43(4):1 199-1 206.
[6] Wang L, Li C H M, Sun Q S, et al. Active contours driven by local and global intensity fitting energy with application to brain MR images segmentation[J]. Computerized Medical Imaging and Graphics, 2009,33(7):520-531.
[7] Yang Y, Wu B. Split bregman method for minimization of improved active contour model combining local and global information dynamically[J]. Journal of Mathematical Analysis and Applications, 2012,389:351-366.
[8] He C H J,Wang Y, Chen Q. Active contours driven by weighted region-scalable fitting energy based on local entropy[J]. Signal Processing, 2012,92:587-600.
/
| 〈 |
|
〉 |