• DocumentCode
    1675469
  • Title

    Line orientation operator

  • Author

    Le Pouliquen, Franck ; Germain, Christian ; Baylou, Pierre

  • Author_Institution
    Dept. of Equipe Signal & Image, ENSEIRB, Talence, France
  • Volume
    3
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    708
  • Abstract
    This paper proposes new estimators for the local orientation of elongated structures. Classical methods derive local orientation from the argument of gradient estimator. As they were originally designed for edge detection, such operators can lead to high bias in orientation estimation. We introduce the line orientation operator which applies an oriented model made with straight parallel lines on the local neighborhood. We present results either on synthetic and real images. We compare this new operator with other classical orientation operators
  • Keywords
    computer vision; mathematical operators; parameter estimation; elongated structures; line orientation operator; local orientation estimation; straight parallel lines; vision task; Filter bank; Fingerprint recognition; Geometry; Image edge detection; Image matching; Kernel; Position measurement; Principal component analysis; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2001. Proceedings. 2001 International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    0-7803-6725-1
  • Type

    conf

  • DOI
    10.1109/ICIP.2001.958217
  • Filename
    958217