Medical image segmentation based on improved GAC model
MA Zepeng · Computer Engineering and Applications Journal · 2011
This paper proposes a novel method of image segmentation,LGAC(Local Geodesic Active Contour).It is based on the combination of the model of geodesic active contour with the local area information.The sign pressure function of the evolution curve based on the local area and the new evolution model are constructed.The method is implemented by the level set and the zero level set can converge in the boundary accurately.This method can achieve ideal effect for image segmentation of low contrast.The paper adopts Gaussian kernel function to regulate the level set for its smoothness and stability which saves computing time.The experimental results confirm the feasibility.