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Optical Engineering

Automatic foreground extraction by background elimination based on multiscale segmentation
Author(s): Ki Tae Park; Chan Woo Park; Young Shik Moon
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Paper 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.

Paper Details

Date Published: 1 June 2011
PDF: 8 pages
Opt. Eng. 50(6) 067004 doi: 10.1117/1.3582862
Published in: Optical Engineering Volume 50, Issue 6
Show Author Affiliations
Ki Tae Park, Hanyang Univ. (Korea, Republic of)
Chan Woo Park, Hanyang Univ. (Korea, Republic of)
Young Shik Moon, Hanyang Univ. (Korea, Republic of)


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