• DocumentCode
    1125744
  • Title

    An Iterative Thresholding Algorithm for Image Segmentation

  • Author

    Pérez, Arnulfo ; Gonzalez, Rafael C.

  • Author_Institution
    Department of Electrical and Computer Engineering, University of Tennessee, Knoxville, TN 37996.
  • Issue
    6
  • fYear
    1987
  • Firstpage
    742
  • Lastpage
    751
  • Abstract
    A thresholding technique is developed for segmenting digital images with bimodal reflectance distributions under nonuniform illumination. The algorithm works in a raster format, thus making it an attractive segmentation tool in situations requiring fast data throughput. The theoretical base of the algorithm is a recursive Taylor expansion of a continuously varying threshold tracking function.
  • Keywords
    Aerospace engineering; Automation; Histograms; Image analysis; Image segmentation; Interpolation; Iterative algorithms; Lighting; Probability; Testing; Adaptive; Taylor series; computer vision; machine vision; real-time; segmentation; thresholding; vision;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1987.4767981
  • Filename
    4767981
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1125744