• DocumentCode
    2676810
  • Title

    Maximum entropy thresholding segmentation research in 3D images

  • Author

    Mingdong, Li ; Ding, Peng ; Ziyang, Xing

  • Author_Institution
    China West Normal Univ., Nanchong, China
  • Volume
    5
  • fYear
    2010
  • fDate
    27-29 March 2010
  • Firstpage
    45
  • Lastpage
    48
  • Abstract
    Aiming at the problems such as long executive time, and extremal extreme extremely complex when using image segmentation method to seek Threshold,a novel 3D maximum entropy image segmentation method is proposed, which uses the threshold of 3D image of the global search space, and takes the gray scale value of prixel and the gray scale mean value of region corresponding to 3D maximum entropy value as the threshold for image segmentation. The experimental results show this method has some advantage in aspects of executive time and astringency.
  • Keywords
    entropy; image segmentation; search problems; 3D maximum entropy image segmentation method; global search space; maximum entropy thresholding segmentation; Background noise; Computational complexity; Entropy; Fuzzy sets; Gray-scale; Histograms; Image segmentation; Pixel; Scattering; Security; 3D fuzzy maximum entropy; Image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2010 2nd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-5845-5
  • Type

    conf

  • DOI
    10.1109/ICACC.2010.5486985
  • Filename
    5486985