• DocumentCode
    3192234
  • Title

    Image Segmentation by Histogram Adaptive Fuzzification

  • Author

    Bhatt, Rajen B.

  • Author_Institution
    Samsung India R&D Center (Software), B-1, Sector-81, Phase-II, Noida-201305 (U.P.), INDIA, Email: rajen.bhatt@gmail.com, rajen.bhatt@samsung.com
  • fYear
    2005
  • fDate
    11-13 Dec. 2005
  • Firstpage
    535
  • Lastpage
    538
  • Abstract
    We propose a simple image segmentation methodology using adaptive fuzzification over gray level histogram. The threshold has been estimated at the first intersection of back ground and fore ground fuzzy membership functions. The proposed methodology has been tested over various well known image segmentation problems.
  • Keywords
    Histogram; Image segmentation; Thresholding; Application software; Clustering algorithms; Computer vision; Entropy; Fuzzy sets; Histograms; Image segmentation; Minimization methods; Research and development; Testing; Histogram; Image segmentation; Thresholding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INDICON, 2005 Annual IEEE
  • Print_ISBN
    0-7803-9503-4
  • Type

    conf

  • DOI
    10.1109/INDCON.2005.1590228
  • Filename
    1590228
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3192234