A Novel Salient Object Segmentation Based on Density Estimation
نویسنده
چکیده
In this paper we propose KDE model for object segmentation on the basis of graph cut and density estimation. In this approach in the initial phase, the saliency map based graph cut is exploited to obtain an initial segmentation result. In the second phase iterative seed adjustment method results further segmentation and then exploits a balancing update scheme of segment refinement. And also it utilizes color saliency and spacial saliency based on special distribution.
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