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INTERACTIVE OBJECT SELECTION USING S-T MINIMUM CUT Ning Xu and Narendra Ahuja
 

Summary: INTERACTIVE OBJECT SELECTION USING S-T MINIMUM CUT
Ning Xu and Narendra Ahuja
Department of Electrical and Computer Engineering and Beckman Institute
University of Illinois at Urbana-Champaign, Urbana, IL61801, USA
ABSTRACT
In this paper, we present an interactive object selection
approach that applies s - t minimum cut on local contour
neighborhoods of the object boundary to segment the ob-
ject from the background. Using a simple interface, users
can extract accurate object contours interactively. Our ap-
proach has the following properties. 1) Interactivity: The
interface is easy to use and accepts flexible freehand inputs.
Realtime feedback is provided for user interactive correc-
tion. 2) Robustness: The s - t minimum cut is insensitive
to image noise since it finds the global minimum within the
local contour neighborhood. Further, the approach is valid
for contours and objects defined by different features, e.g.,
color and texture. 3) Controllability: Object contours are
fully controllable through interactive correction by the user.
Experimental results for a wide range of objects are pro-

  

Source: Ahuja, Narendra - Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign

 

Collections: Computer Technologies and Information Sciences; Engineering