• DocumentCode
    2413477
  • Title

    Morphological edge detection by successive segmentation for thermal images

  • Author

    Li, Jim S. Jimmy ; Randhawa, Sharmil

  • Author_Institution
    Sch. of Inf. & Eng., Flinders Univ. of South Australia, Adelaide, SA, Australia
  • fYear
    2002
  • fDate
    11-13 Feb. 2002
  • Firstpage
    365
  • Lastpage
    369
  • Abstract
    A morphological edge detection technique using successive segmentation is presented. This method is based on the fact that an existing edge must lie within one or more threshold levels of a grayscale image. The detection of the desired edge is achieved by applying a perimeter function criterion so that the corresponding threshold level is included. The detection of fine edges can be controlled by the number of stages in the process of successive segmentation. It has been shown that our proposed technique performs favourably in terrain-type images when compared with many other well known edge detection algorithms.
  • Keywords
    edge detection; image segmentation; mathematical morphology; grayscale image; morphological edge detection; perimeter function criterion; successive segmentation; terrain-type images; thermal images; Australia; Cepstrum; Gray-scale; Hidden Markov models; Humans; Image edge detection; Image segmentation; Parameter estimation; Skin; Underwater tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Decision and Control, 2002. Final Program and Abstracts
  • Conference_Location
    Adelaide, SA, Australia
  • Print_ISBN
    0-7803-7270-0
  • Type

    conf

  • DOI
    10.1109/IDC.2002.995433
  • Filename
    995433