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    A Variational Framework for Joint Segmentation and Registration

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    mmbia_Variational_Framework_Joint_SR.pdf (948.3Kb)
    Date
    2001-12
    Author
    Yezzi, Anthony
    Zöllei, Lilla
    Kapur, Tina
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    Abstract
    Traditionally, segmentation and registration have been solved as two independent problems, even though it is often the case that the solution to one impacts the solution to the other: In this paper, we introduce a geometric, variational framework that uses active contours to simultaneously segment and register features from multiple images. The key observation is that multiple images may be segmented by evolving a single contour as well as the mappings of that contour into each image. To the best of our knowledge, this is the frst attempt at interleaving segmentation and registration in such a framework.
    URI
    http://hdl.handle.net/1853/49191
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    • Laboratory of Computational Computer Vision Publications [106]

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