• DocumentCode
    3380435
  • Title

    Entropy-based image merging

  • Author

    German, A. ; Jenkin, M.R. ; Lespérance, Y.

  • Author_Institution
    Dept. of Comput. Sci. & Eng. & Centre for Vision Res., York Univ., Toronto, Ont., Canada
  • fYear
    2005
  • fDate
    9-11 May 2005
  • Firstpage
    81
  • Lastpage
    86
  • Abstract
    Spacecraft docking using vision is a challenging task. Not least among the problems encountered is the need to visually localize the docking target. Here we consider the task of adapting the local illumination to assist in this docking. An online approach is developed that combines images obtained under different exposure and lighting conditions into a single image upon which docking decisions can be made. This method is designed to be used within an intelligent controller that automatically adjusts lighting and image acquisition in order to obtain the "best" possible composite view of the target for further image processing.
  • Keywords
    computer vision; entropy; intelligent control; lighting; entropy-based image merging; image acquisition; image entropy; image processing; intelligent controller; local illumination; online approach; spacecraft docking; Cameras; Dynamic range; Humans; Layout; Light sources; Lighting control; Merging; Pixel; Space vehicles; Underwater vehicles; High Dynamic Range; Image Entropy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Robot Vision, 2005. Proceedings. The 2nd Canadian Conference on
  • Print_ISBN
    0-7695-2319-6
  • Type

    conf

  • DOI
    10.1109/CRV.2005.38
  • Filename
    1443115