• DocumentCode
    431426
  • Title

    An Unsupervised Learning Algorithm for Image Segmentation Based On Finite Mixture Models

  • Author

    Lin-Sen, Yu ; Tian-Wen, Zhang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China
  • Volume
    2
  • fYear
    2005
  • fDate
    March 18-23, 2005
  • Firstpage
    101
  • Lastpage
    104
  • Keywords
    convergence; image segmentation; low-pass filters; maximum likelihood estimation; unsupervised learning; EM algorithm convergence; finite mixture models; image segmentation; low pass filtering operation; maximum likelihood estimation; model initialization; model selection; unsupervised learning algorithm; Application software; Computer science; Computer vision; Content based retrieval; Convergence; Image classification; Image retrieval; Image segmentation; Low pass filters; Unsupervised learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8874-7
  • Type

    conf

  • DOI
    10.1109/ICASSP.2005.1415351
  • Filename
    1415351
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=431426