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Friday December 7, 2007CSC Distinguished Speakers Series2:30 PM - 3:30 PM
Title:Edges: Separation and decomposition of scales
Speaker:Eitan Tadmor (University of Maryland)
Room: ASB 10900 (IRMACS)
Abstract:I will describe how edges can be treated through different scales.
I will begin with detection of edges in piecewise smooth data. The data is
given in terms of its spectral representation. The objective is to recover
the location and amplitudes of jump discontinuities, from possibly
incomplete and noisy spectral information. We utilize a general family of
edge detectors based on concentration kernels. Each kernel forms an
approximate derivative of the delta function. Edges are detected by
separation of scales.
Edges are also the noticeable feature in images. I will discuss a novel
representation of general images which are decomposed into hierarchy of
scales of edges. The resulting decomposition is essentially nonlinear. The
questions of convergence, localization and adaptivity will be discussed and
numerical results will illustrate applications to synthetic and real images.