A New Active Contour Model for Image Segmentation
Pan Jin-xiao · Journal of North University of China · 2012
In order to extract the object boundaries from the images of intensity inhomogeneity,a new image segmentation method is proposed.The new energy functional is set up by local and global intensity information,and the geodesic time is defined as kernel function of local binary fitting model.For there introducing the penalty term of signed distance function,the reinitialization is no longer required.The arc length adjustment term has ensured the evolution with continuous and smooth curve.The gradient descent flow of curve evolution is obtained by energy minimization through the variation level set method.The feasibility and robustness of the proposed model had been certified by the experiments of medical CT images segmentation.