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
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;
Conference_Titel :
Computer and Robot Vision, 2005. Proceedings. The 2nd Canadian Conference on
Print_ISBN :
0-7695-2319-6
DOI :
10.1109/CRV.2005.38