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Journal of Sensors
Volume 2013, Article ID 713536, 8 pages
Research Article

Implicit Active Contours Driven by Local and Global Image Fitting Energy for Image Segmentation and Target Localization

College of Information Science & Engineering, Northeastern University, Shenyang 110819, China

Received 29 August 2013; Accepted 22 October 2013

Academic Editor: Long Cheng

Copyright © 2013 Xiaosheng Yu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We propose a novel active contour model in a variational level set formulation for image segmentation and target localization. We combine a local image fitting term and a global image fitting term to drive the contour evolution. Our model can efficiently segment the images with intensity inhomogeneity with the contour starting anywhere in the image. In its numerical implementation, an efficient numerical schema is used to ensure sufficient numerical accuracy. We validated its effectiveness in numerous synthetic images and real images, and the promising experimental results show its advantages in terms of accuracy, efficiency, and robustness.