Active contour segmentation model of combining global and dual-core local fitting energy
Zhengyong PAN · Journal of Computer Applications · 2013
As the Region-Scalable Fitting(RSF) model is sensitive to the location of initial curve,an active contour model combining global and local image information in a variational level set formulation was proposed in this paper.The local energy item was defined as a linear combination of the RSF model and our model by taking domain and range kernel functions into account,which made up for the defects that sampling weights were only related to spatial distance and improving the accuracy of segmentation.Also,it constructed an adaptive area term by introducing a global indicating function as a global intensity fitting force,which can speed up the convergence of the proposed model and can also avoid being trapped into local minima.In the numerical calculation,Gaussian filtering was utilized to regularize the level set function,which can ensure its smoothness and eliminate the requirement of re-initialization.The experimental results show that the proposed model allows flexible initialization,and it can achieve desirable results when being applied to images with inhomogeneous intensity.