Gradient vector flow combined saliency analysis for active contours

Image segmentation is one of the key technologies in digital image processing. Gradient vector flow (GVF) active contours model is one of important methods for image segmentation. But GVF method could not deal with complex natural images efficiently. In this paper, a new active contours algorithm is proposed. The proposed algorithm uses the advantage of saliency model in distinguishing objects and background to increasing the ability of GVF method to segment complex images. Experiment results on natural images show the better performances of proposed method compared with the tradition GVF method.