An improved GrabCut using a saliency map

Kwang Shik Kim, Yeo Jin Yoon, Mun Cheon Kang, Jee Young Sun, Sung-Jea Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The GrabCut, which uses the graph-cut iteratively, is popularly used as an interactive image segmentation method since it can produce the globally optimal result. However, since the initialization of the GrabCut is roughly performed by the manual interaction, the accuracy of the segmentation result is not guaranteed when the user defines an inaccurate guide. To solve this problem, in this paper, we present an improved GrabCut method which uses a visual saliency of the target region for the effective initialization. Experimental results demonstrate that the proposed method provides more accurate segmentation results compared with the conventional method.

Original languageEnglish
Title of host publication2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages317-318
Number of pages2
ISBN (Print)9781479951451
DOIs
Publication statusPublished - 2014 Feb 3
Event2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014 - Tokyo, Japan
Duration: 2014 Oct 72014 Oct 10

Other

Other2014 IEEE 3rd Global Conference on Consumer Electronics, GCCE 2014
Country/TerritoryJapan
CityTokyo
Period14/10/714/10/10

Keywords

  • GrabCut
  • image segmentation
  • visual saliency

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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