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Entropy-Based Image Merging
The University of Victoria, Victoria, British Columbia, Canada May 09-May 11
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CRV.2005.38The 2nd Canadian Conference on Comput ...
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A. German, York University, Toronto, Ontario, Canada
M. R. Jenkin, York University, Toronto, Ontario, Canada
Y. Lesp?rance, York University, Toronto, Ontario, Canada
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.
Index Terms:
Image Entropy, High Dynamic Range
Citation:
A. German, M. R. Jenkin, Y. Lesp?rance, "Entropy-Based Image Merging," crv, pp.81-86, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005
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