1 June 2011 Automatic foreground extraction by background elimination based on multiscale segmentation
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Abstract
We propose an approach to automatically extracting foreground regions. This is a novel method for segmenting salient objects from still images by background elimination. To extract foreground regions, a new method of background elimination based on multiscale segmentation is proposed to detect candidate object regions. To this end, we use a trimap consisting of foreground, background, and undefined regions and a region adjacency graph. A graph-cut technique is finally used to extract exact foreground regions from the candidates. Experimental results have shown that the proposed method yields a better foreground extraction than Kim's method under various environments containing multiple objects and clutter backgrounds in natural images.
© (2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
Ki Tae Park, Chan Woo Park, Young Shik Moon, "Automatic foreground extraction by background elimination based on multiscale segmentation," Optical Engineering 50(6), 067004 (1 June 2011). https://doi.org/10.1117/1.3582862 . Submission:
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