• DocumentCode
    419602
  • Title

    The morphological top-hat operator generalised to multi-channel images

  • Author

    Hanbury, Allan

  • Author_Institution
    Pattern Recognition & Image Process. Group, Vienna Univ. of Technol., Austria
  • Volume
    1
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    672
  • Abstract
    The morphological top-hat operator for grayscale images is part of the basic toolbox of mathematical morphology operators. We discuss two ways of generalising the top-hat operator to multi-channel images, such as colour images. The first method presented is the use of a vectorial order in the relevant vector space. The second is based on the demonstration that the top-hat operator can be rewritten in terms of increments. These increments can be replaced by any vectorial distance function, removing the requirement to first impose an order on the vectors. We present examples of the use of the suggested top-hat operators in feature detection in colour images and defect detection in texture.
  • Keywords
    feature extraction; image colour analysis; image texture; mathematical morphology; mathematical operators; vectors; colour image feature detection; grayscale images; mathematical morphology operators; morphological top hat operator; multichannel images; texture defect detection; vectorial distance function; Computer vision; Data mining; Image color analysis; Image processing; Image texture analysis; Morphology; Muscles; Object detection; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1334259
  • Filename
    1334259