Automatic foreground extraction by background elimination based on multiscale segmentation

Ki Tae Park; Chan Woo Park; Young Shik Moon

doi:10.1117/1.3582862

1 June 2011 Automatic foreground extraction by background elimination based on multiscale segmentation

Ki Tae Park, Chan Woo Park, Young Shik Moon

Author Affiliations +

Optical Engineering, Vol. 50, Issue 6, 067004 (June 2011). https://doi.org/10.1117/1.3582862

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)

Citation Download Citation

Ki Tae Park, Chan Woo Park, and 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

Published: 1 June 2011

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available