• DocumentCode
    692575
  • Title

    Application of hough transform feature extraction to reduce angular vibration in images captured from moving objects

  • Author

    Afolabi, David ; Ka Lok Man ; Hai-Ning Liang ; Nan Zhang ; Eng Gee Lim ; Kaiyu Wan

  • Author_Institution
    Xi´an Jiaotong-Liverpool Univ., Suzhou, China
  • fYear
    2013
  • fDate
    17-19 Nov. 2013
  • Firstpage
    267
  • Lastpage
    269
  • Abstract
    This paper details an ongoing research aimed at developing computational approach to reducing/eliminating vibration and light glare in images captured by digital cameras especially when the scene contains moving objects or the camera is mounted on a moving vehicle/flying drone. The algorithms developed are focused at real-time image acquisition where the enhanced/corrected images are need almost immediately after they are captured. The results show that these methods of reducing the stated problems are effective and it can be further developed for various applications.
  • Keywords
    Hough transforms; cameras; feature extraction; image enhancement; Hough transform feature extraction; angular vibration reduction; computational approach; corrected images; digital cameras; enhanced images; light glare; moving objects; moving vehicle-flying drone; real-time image acquisition; Cameras; Image color analysis; Image sensors; Real-time systems; Reflection; Transforms; Vibrations; Hough transform; glare redution; image sensor; moving targets; vibration reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SoC Design Conference (ISOCC), 2013 International
  • Conference_Location
    Busan
  • Type

    conf

  • DOI
    10.1109/ISOCC.2013.6864024
  • Filename
    6864024