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›› 2013, Vol. 30 ›› Issue (6): 819-823.DOI: 10.7523/j.issn.2095-6134.2013.06.016

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An active contour model combining local and global information based on local entropy

WANG Hai-Jun, LIU Ming, ZHANG Sheng-Yan   

  1. Aviation IT Research & Development Center, Binzhou University, Binzhou 256603, Shandong, China
  • Received:2013-01-02 Revised:2013-02-28 Online:2013-11-15

Abstract:

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.

Key words: local entropy, active contour, local gaussian distribution fitting, image segmentation, level set

CLC Number: