• DocumentCode
    1533448
  • Title

    Image thresholding by indicator kriging

  • Author

    Oh, Wonho ; Lindquist, W.Brent

  • Author_Institution
    Dept. of Appl. Math. & Stat., State Univ. of New York, Stony Brook, NY, USA
  • Volume
    21
  • Issue
    7
  • fYear
    1999
  • fDate
    7/1/1999 12:00:00 AM
  • Firstpage
    590
  • Lastpage
    602
  • Abstract
    We consider the problem of segmenting a digitized image consisting of two univariate populations. Assume a priori knowledge allows incomplete assignment of voxels in the image, in the sense that a fraction of the voxels can be identified as belonging to population II 0, a second fraction to II1, and the remaining fraction have no a priori identification. Based upon estimates of the short length scale spatial covariance of the image, we develop a method utilizing indicator kriging to complete the image segmentation
  • Keywords
    computer vision; image segmentation; probability; statistical analysis; digitized image; image segmentation; image thresholding; indicator kriging; probability; spatial covariance; voxels; Image edge detection; Image segmentation; Laser noise; Microscopy; Optical materials; Shape; Synchrotrons; Tomography; X-ray imaging; X-ray lasers;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.777370
  • Filename
    777370
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1533448