Delaunay Sparse Saliency

Manual identifying region with visual attention in image/video frames is not a facile task. An algorithm which automatically reveals salient region from a single image is presented. The challenging problem of saliency detection is tackled by the Delaunay triangulation with an advanced salient criteria. The criteria addresses to difference of intensive value and image feature which is based on local and global mean. Delaunay mesh points are generated by the feature and then Delaunay triangulation is created. An adaptive sparse bilateral filter is taken advantage of to uncover local saliency and to set up the mesh points. The filter is sparse as it´s applied for the mesh points only. Salient regions are extracted and boundary of the regions are followed by the mesh edges. Both points and edges of the Delaunay mesh are used to solve the saliency problem. Experimental results with various image categories from a saliency benchmark demonstrates reliable performance. Furthermore, it´s very explicative as the Delaunay mesh presents saliency map illustratively.