• DocumentCode
    3032383
  • Title

    The application of mathematical morphology in Vehicle identification technology

  • Author

    Lixia, Wang ; Dalin, Jiang

  • Author_Institution
    Coll. of Electron. Inf. Eng., Beijing Univ. of Technol., Beijing, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    801
  • Lastpage
    805
  • Abstract
    Traffic information collection technology is the basis to constructing the ITS common information platform, in which the most critical and complex part is the automatic detection technology to vehicles. In this paper, we focus on the mathematics morphology technology´s application in vehicles images processing. Through reading a large number of documents, we can conclude that the image´s geometric features usually can´t be affected by external environment and learn that mathematical morphology in processing vehicles images under complex environment has obvious advantages. Through studying Vehicle identification based on morphology, the main contents are as follow: Noise filtering, adhesion target segmentation, image reconstruction, image matching, and other key technologies. In this paper, the image morphology in vehicle detection of specific applications was reviewed.
  • Keywords
    automated highways; image matching; image reconstruction; mathematical morphology; object detection; traffic information systems; ITS; adhesion target segmentation; automatic detection technology; image geometric features; image matching; image morphology; image reconstruction; mathematical morphology; noise filtering; traffic information collection technology; vehicle detection; vehicle identification technology; vehicle image processing; Gray-scale; Image reconstruction; Image segmentation; Morphology; Noise; Shape; Vehicles; Vehicle Detection; image reconstruction; image segmentation; mathematical morphology; morphological filtering; object matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6002192
  • Filename
    6002192