• DocumentCode
    3456690
  • Title

    Local colour statistics for edge definition

  • Author

    Dzaja, Barbara ; Antisic, Niksa ; Bonkovic, Mirjana

  • Author_Institution
    Dept. for Appl. Sci., Univ. of Split, Split, Croatia
  • fYear
    2013
  • fDate
    7-10 July 2013
  • Abstract
    This paper addresses important computer vision problem of defining a measure for the strength (intensity) of edges in an image. The importance of the problem arises from the fact that images are typically represented in the multi - colour RGB format, hence each pixel requires more than one parameter to be defined. The α image is created using local colour statistics based on the size of the neighbourhood, surrounding image pixel under consideration. The local colour statistics defined by the size of the neighbourhood surrounding is called patch. The paper introduces measure for definition and detection of edges in the image based on that local colour neighbourhood. The valuation measure is based on the sum of absolute measure present in α image. This way, the number of parameters required for defining pixels and edges is reduced to a single parameter, α. Therefore, patch size plays an important role in definition and detection of edges.
  • Keywords
    computer vision; edge detection; image colour analysis; statistical analysis; α image; computer vision problem; edge definition; edge detection; image edge; image intensity; local colour neighbourhood; local colour statistics; multicolour RGB format; neighbourhood size; patch; red-green-blue format; sum-of-absolute measure; surrounding image pixel; Educational institutions; Image color analysis; Image edge detection; Image resolution; Mathematical model; Noise; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers and Communications (ISCC), 2013 IEEE Symposium on
  • Conference_Location
    Split
  • Type

    conf

  • DOI
    10.1109/ISCC.2013.6755054
  • Filename
    6755054