An active contour model combining local and global information based on local entropy
Hai Wang · 2013
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.