• DocumentCode
    961682
  • Title

    Optimal convolution filters and an algorithm for the detection of wide linear features

  • Author

    Petrou, M.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Surrey Univ., Guildford, UK
  • Volume
    140
  • Issue
    5
  • fYear
    1993
  • Firstpage
    331
  • Lastpage
    339
  • Abstract
    The author presents the theory for developing optimal convolution filters for the identification of wide linear features and an algorithm for distinguishing them from other types of image feature. Some filters are given and the results of applying the algorithm to some real images are shown. These filters, and the algorithm, are appropriate for use in knowledge based systems which aim at identifying roads, canals, hedges and rivers in images, or in digitised maps.<>
  • Keywords
    edge detection; feature extraction; filtering and prediction theory; image processing; edge detection; image feature; optimal convolution filters; real images; wide linear features;
  • fLanguage
    English
  • Journal_Title
    Communications, Speech and Vision, IEE Proceedings I
  • Publisher
    iet
  • ISSN
    0956-3776
  • Type

    jour

  • Filename
    240152
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=961682