Application of LCV Model in Medical Image Segmentation

The Chan-Vese(C-V) active contour model utilizes global region information of images,so it is difficult to handle images with intensity inhomogeneity.A Local region-based C-V(LCV) model based on image local region information is proposed,which utilizes the weighted average intensity inside a local window to replace the global average intensity of C-V model.Moreover,the distance penalized energy function is incorporated into it,which makes the expensive re-initialization unnecessary.Experimental results of medical image segmentation show it has a distinctive advantage over C-V model for images with intensity inhomogeneity,and it is more efficient than LBF.