Automatic foreground extraction by background elimination based on multiscale segmentation
- Authors
- Park, Ki Tae; Park, Chan Woo; Moon, Young Shik
- Issue Date
- Jun-2011
- Publisher
- S P I E - International Society for Optical Engineering
- Keywords
- foreground extraction; background elimination; multiscale segmentation; graph cuts
- Citation
- Optical Engineering, v.50, no.6, pp 1 - 8
- Pages
- 8
- Indexed
- SCI
SCIE
SCOPUS
- Journal Title
- Optical Engineering
- Volume
- 50
- Number
- 6
- Start Page
- 1
- End Page
- 8
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/37410
- DOI
- 10.1117/1.3582862
- ISSN
- 0091-3286
1560-2303
- 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.
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