BMVC 2004, Kingston, 7th-9th Sept, 2004

Map-Based Microscope Positioning
G. Begelman, M. Lifshits and E. Rivlin (Technion, Israel)

In microscopy, regions of interest are usually much smaller than the whole
slide area. Various microscopy related medical applications are liable to benefit
greatly from microscope auto positioning in previously defined regions of
interest. In this paper we present a method for image-based auto positioning
on a microscope slide. The method is based on localization of a microscopic
query image using a previously acquired slide map. It uses geometric hashing,
a highly efficient technique drawn from the object recognition field. The
algorithm exhibits high tolerance to possible variations in visual appearance
due to slide rotations, scaling and illumination changes. Experimental results
indicate high reliability of the algorithm.
(pdf article)

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