• DocumentCode
    1699428
  • Title

    Cross-section estimation and image segmentation by simulated annealing

  • Author

    White, R.G.

  • Author_Institution
    DRA, Malvern, UK
  • fYear
    1993
  • fDate
    6/15/1905 12:00:00 AM
  • Firstpage
    42644
  • Abstract
    To cope with the problem of data inhomogeneity one requires some form of automatic parameter estimation and, if the data parameterisation allows, some form of segmentation. Ideally this parameter or cross-section estimation algorithm should be capable of adapting to the local statistics in such a way that it may cope with potentially different parameterisations for different image resolutions. An algorithm based on simulated annealing which is capable of providing accurate estimations of either radar cross-section, at high resolution, or other texture parameters at lower resolution is presented. Example segmentations produced by these smoothing operations are also presented. These results are presented visually
  • Keywords
    image segmentation; parameter estimation; radar cross-sections; simulated annealing; automatic parameter estimation; cross-section estimation algorithm; data inhomogeneity; image resolutions; image segmentation; local statistics; radar cross-section; simulated annealing; smoothing operations; texture parameters;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Texture analysis in radar and sonar, IEE Seminar on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    280150