收稿日期: 2013-01-02
修回日期: 2013-02-28
网络出版日期: 2013-11-15
基金资助
滨州学院科研基金(BZXYG1214)资助
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
王海军 , 柳明 , 张圣燕 . 基于局部熵的融合局部和全局信息的主动轮廓模型[J]. 中国科学院大学学报, 2013 , 30(6) : 819 -823 . DOI: 10.7523/j.issn.2095-6134.2013.06.016
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.
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