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Automatic Object Segmentation Based on GrabCut

  • Feng JiangEmail author
  • Yan Pang
  • ThienNgo N. Lee
  • Chao Liu
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 943)

Abstract

Object segmentation is used in multiple image processing applications. It is generally difficult to perform the object segmentation fully automatically. Most object segmentation schemes are developed based on prior information, training process, existing annotation, special mechanical settings or the human visual system modeling. We proposed a fully automatic segmentation method not relying on any training/learning process, existing annotation, special settings or the human visual system. The automatic object segmentation is accomplished by an objective object weight detection and modified GrabCut segmentation. The segmentation approach we propose is developed only based on the inherent image features. It is independent with various datasets and could be applied to different scenarios. The segmentation result is illustrated by testing a large dataset.

Keywords

Segmentation Saliency GrabCut Graph cuts 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Feng Jiang
    • 1
    Email author
  • Yan Pang
    • 2
  • ThienNgo N. Lee
    • 1
    • 2
  • Chao Liu
    • 1
    • 2
  1. 1.Metropolitan State University DenverDenverUSA
  2. 2.University of Colorado DenverDenverUSA

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