• DocumentCode
    1791335
  • Title

    GrabCut color image segmentation based on region of interest

  • Author

    Siyang Hua ; Ping Shi

  • Author_Institution
    Inf. Eng. Sch., Commun. Univ. of China, Beijing, China
  • fYear
    2014
  • fDate
    14-16 Oct. 2014
  • Firstpage
    392
  • Lastpage
    396
  • Abstract
    In order to speed up the convergence of GrabCut algorithm and enhance the accuracy of segmentation, this paper puts forward an algorithm of GrabCut color image segmentation based on region of interest (ROI). The user selects a ROI by dragging a rectangle. The GrabCut algorithm is used in ROI only. The object is then extracted automatically. The experimental results demonstrate that the new algorithm costs less and is more accurate than the original GrabCut algorithm for images with complex background.
  • Keywords
    image colour analysis; image segmentation; object detection; GrabCut color image segmentation; ROI; object extraction; rectangle dragging; region of interest; Accuracy; Algorithm design and analysis; Clustering algorithms; Color; Image segmentation; Runtime; Signal processing algorithms; GrabCut; ROI; image segmentation; region of intrest;
  • 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.2014.7003812
  • Filename
    7003812
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1791335