Local image fitting model fused with global image information
Shuzhe Chen · Optical Technique · 2013
To improve the robustness of the Local Image Fitting(LIF)model against the initial contour,a new energy model(LIF_GI model)combining both global and local image information is proposed.A Global Image Fitting(GIF)model for images with intensity homogeneities is constructed,which use the global averages of image intensity.The LIF_GI model is constructed by defining a new image fitting function,which integrates the advantages of both GIF model and LIF model.To avoid the complex re-initialization procedure,a novel reaction-diffusion(RD)method is applied to level set evolution.Experimental results demonstrate that the GIF model successfully segments the images with intensity homogeneities and allows flexible contour initialization.When used to segment images with intensity in-homogeneities,the LIF_GI model alleviates the sensitivity of the LIF model on the initial contour effectively.Compared with the LIF model,LIF_GI model also show the advantages of less iteration and lower time cost.