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, Ki Tae Park, Chan Woo Park, Chan Woo Park, Young Shik Moon, 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:
JOURNAL ARTICLE
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