Active contours segmentation with edge based and local region based

In this paper, we propose a novel active contour method for image segmentation, which utilizes the advantages of the GAC and the LRAC methods. We consider the smoothing force of the GAC method and local region-based force of the LRAC method. The advantages of our method are as follows. First the proposed method a new region-based signed pressure force function, which can efficiently stop the contours at weak boundary. Second the proposed method can be handle the heterogeneous texture objects and able to reach into deep concave shapes. Finally, the proposed formulation can be easily implemented by simple finite difference scheme and is computationally more efficient and accurate. The proposed method has been applied to both synthetic and real images.