• DocumentCode
    1791339
  • Title

    LinedCut: Image segmentation using single line interaction

  • Author

    Haowen Qiu ; Chunheng Wang ; Baihua Xiao ; Zhong Zhang ; Song Gao

  • Author_Institution
    State Key Lab. of Manage. & Control for Complex Syst., Inst. of Autom., Beijing, China
  • fYear
    2014
  • fDate
    14-16 Oct. 2014
  • Firstpage
    415
  • Lastpage
    419
  • Abstract
    In this paper, we propose LinedCut: a novel method for interactive image segmentation which requires only a single line drawing to identify the object of interest in the image. The handy interaction mode can address the problem of object scale very well. Our approach consists of the following three steps: first, a given image is over-segmented into superpixels using superpixel algorithm; secondly, a merging technique based on bag-of-color feature and k-means is applied to merge similar adjacent superpixel pairs; finally, a graph-cut based approach which exploits user interaction information is introduced to get the final segmentation result. Despite its simplicity, we show that the LinedCut method is able to achieve a performance comparable to the state-of-the-art. The method can be easily developed by replacing any one method among the three steps with other methods.
  • Keywords
    image segmentation; merging; LinedCut method; bag-of-color feature; graph-cut based approach; handy interaction mode; interactive image segmentation; k-means technique; merging technique; oversegmentation; single line interaction; superpixel algorithm; user interaction information; Computer vision; Histograms; Image color analysis; Image segmentation; Merging; Object recognition; Pattern analysis; Graph-Cut; Interactive Image Segmentation; Superpixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2014 7th International Congress on
  • Conference_Location
    Dalian
  • Type

    conf

  • DOI
    10.1109/CISP.2014.7003816
  • Filename
    7003816