caa a22 4500 605540454 CHVBK 20210128100911.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s00371-014-0930-9 doi (NATIONALLICENCE)springer-10.1007/s00371-014-0930-9 Saliency detection with color contrast based on boundary information and neighbors [Elektronische Daten] [Min Xu, Hanling Zhang] Object-level saliency detection is significant in many computer vision tasks. In this paper, we propose a novel saliency detection model based on color contrast and image boundaries. The saliency of an image is defined as the contrast between the image elements (regions) and image boundaries elements (regions). We consider the saliency in two-stage procedure rather than in one stage. First of all, according to the definition of saliency, we take four boundaries of image into consideration respectively to obtain a combination coarse saliency map. Furthermore, a new energy function based on the coarse saliency map is proposed, which takes the coarse saliency map as input to yield the final full resolution saliency map. Experimental results on two public datasets demonstrate that the proposed model performs better than the state-of-the-art methods. Springer-Verlag Berlin Heidelberg, 2014 Visual saliency nationallicence Color contrast nationallicence Energy function nationallicence Saliency map nationallicence Xu Min College of Information Science and Engineering, Hunan University, 410000, Changsha, China aut Zhang Hanling College of Information Science and Engineering, Hunan University, 410000, Changsha, China aut The Visual Computer Springer Berlin Heidelberg 31/3(2015-03-01), 355-364 0178-2789 31:3<355 2015 31 371 https://doi.org/10.1007/s00371-014-0930-9 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-014-0930-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Xu Min College of Information Science and Engineering, Hunan University, 410000, Changsha, China aut NATIONALLICENCE 700 1- Zhang Hanling College of Information Science and Engineering, Hunan University, 410000, Changsha, China aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/3(2015-03-01), 355-364 0178-2789 31:3<355 2015 31 371