Journal of South China University of Technology (Natural Science Edition) ›› 2010, Vol. 38 ›› Issue (11): 117-121.doi: 10.3969/j.issn.1000-565X.2010.11.021

• Computer Science & Technology • Previous Articles     Next Articles

Image Segmentation Based on Adaptive External Force

Fu Zeng-liang  Ye Ming  Su Yong-lin  Lin Yan-ping  Wang Cheng-tao   

  1. Institute of Biomedical Manufacturing and Life Quality Engineering,Shanghai Jiaotong University,Shanghai 200240,China
  • Received:2010-03-08 Revised:2010-06-22 Online:2010-11-25 Published:2010-11-25
  • Contact: 付增良(1981-),男,博士生,主要从事医学图像处理和计算机仿真研究. E-mail:fuzengliang435@163.com
  • About author:付增良(1981-),男,博士生,主要从事医学图像处理和计算机仿真研究.
  • Supported by:

    国家自然科学基金资助项目(30530230); 上海交通大学“医工(理)交叉研究基金”资助项目(40YG2009ZD102)

Abstract:

In order to rapidly and accurately extract regions of interest from a complicated image,by combining the gradient vector flow and the signed-distance penalized functional,an image segmentation method based on adaptive external force is proposed under the variational level set frame.This method correctly attracts the initial contours inside outside,even across the object to the object boundary,introduces the signed-distance penalizing term to avoid complicated and time-consuming signed-distance re-initialization procedure,and employs the weighted arc length-rectifying term to make the contour to evolve continuously and smoothly during the propagation.The proposed me-thod,together with the existing Li's method,is finally used to segment hybrid and real medical images,the results demonstrating its feasibility and superiority.

Key words: image segmentation, level set, variational method, adaptive force, gradient vector flow