Abstract
In this paper, we present a novel automatic image segmentation method, which combines the active contour method and the saliency map method. The saliency map which is obtained by inversing the spectral residual of the image brings a priori knowledge to bear on the image segmentation. The initial level set function is constructed from saliency map. In this way, an automatic initialization of the level set evolution can be obtained. This method can minimize the iterations of the level set evolution. The efficiency and accuracy of the method are demonstrated by the experiments on the synthetic and real images.
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