• DocumentCode
    2698567
  • Title

    Nonparametric optimal binarization

  • Author

    Kampke, Thomas ; Kober, Rudolf

  • Author_Institution
    Forschungsinst. fur Anwendungsorientierte Wissensverarbeitung, Ulm, Germany
  • Volume
    1
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    27
  • Abstract
    Binarization is reduced to function approximation in terms of quantization which is overlaid either with a recursion scheme or with discrete scale-space filtering. Approximations are solved to optimality not requiring any parametric input except that there be two segment classes of the image
  • Keywords
    filtering theory; function approximation; image segmentation; optimisation; quantisation (signal); recursive filters; discrete scale-space filtering; function approximation; nonparametric optimal binarization; recursion scheme; Costs; Dynamic programming; Electrical capacitance tomography; Function approximation; Image segmentation; Iterative algorithms; Microwave integrated circuits; Quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.711071
  • Filename
    711071
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2698567