Visual Positioning of Previously Defined ROIs on Microscopic Slides
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Visual positioning of previously defined ROIs on microscopic slides.
IEEE Trans. on inf. tech. in biomedicine, 10(1):42-50, 2006
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Abstract
In microscopy, regions of interest are usually much smaller than the whole slide area. Various microscopy related medical applications, such as telepathology and computer aided diagnosis, are liable to benefit greatly from microscope auto positioning on 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.
Co-authors
Bibtex Entry
@article{BegelmanLR06a,
title = {Visual positioning of previously defined ROIs on microscopic slides.},
author = {Grigory Begelman and Michael Lifshits and Ehud Rivlin},
year = {2006},
journal = {IEEE Trans. on inf. tech. in biomedicine},
volume = {10},
number = {1},
pages = {42-50},
abstract = {In microscopy, regions of interest are usually much smaller than the whole slide area. Various microscopy related medical applications, such as telepathology and computer aided diagnosis, are liable to benefit greatly from microscope auto positioning on 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.}
}