Saliency Map Based Active Contours Models
Fan Gao, Runing Ma, Jundi Ding · 2010
We present a new object segmentation method that is based on active contours with combined saliency map.It is known that using saliency region can easily get the approximately location of the desired object in the map.In this paper,we use the saliency map to distinguish the desired object from the image when the background is full of noise,and then,to ensure the initial evolving curve in the active contours methods.Our methods improve the classical active contours methods by limiting the initial evolving curve just near the boundaries of the desired object.lt can still get better results although the background of the map is clutter,and,efficient with less time than these classical ones.