Edge Detection From Non-uniform Fourier Data

Guohui Song

Clarkson University


Edge detection plays an important role in identifying regions of interest in an underlying signal or image. In some applications, such as magnetic resonance imaging (MRI) or synthetic aperture radar (SAR), data are sampled in the Fourier domain. The concentration factor method has been widely used in detecting edges from uniform Fourier data. Although in many cases the data are presumed to be sampled uniformly, there are some situations for which the data are collected non-uniformly, either by instrument design or by the circumstances surrounding the collection. The concentration factor method would not work directly for non-uniform Fourier data. We will discuss in this talk a few methods of detecting edges from non-uniform Fourier data.

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