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Active contour models based on local region fitting energy can segment imageswith intensity inhomogeneity effectively, but their segmentation results areeasy to error if the initial contour is inappropriate. In this paper, wepresent a simple and universal method of improving the robustness of initialcontour for these local fitting-based models. The core idea of proposed methodis exchanging the fitting values on the two sides of contour, so that thefitting values inside the contour are always larger (or smaller) than thevalues outside the contour in the process of curve evolution. In this way, thewhole curve will evolve along the inner (or outer) boundaries of object, andless likely to be stuck in the object or background. Experimental results haveproved that using the proposed method can enhance the robustness of initialcontour and meanwhile keep the original advantages in the local fitting-basedmodels.

A Simple Method to improve Initialization Robustness for Active Contours driven by Local Region Fitting Energy