@Article{CiCP-5-326,
author = {Anne Gelb and Dennis Cates},
title = {Segmentation of Images from Fourier Spectral Data},
journal = {Communications in Computational Physics},
year = {2009},
volume = {5},
number = {2-4},
pages = {326--349},
abstract = {<p style="text-align: justify;">This paper designs a segmentation method for an image based on its Fourier
spectral data. An edge map is generated directly from the Fourier coefficients without
first reconstructing the image in pixelated form. Consequently the internal boundaries
of the edge map are not blurred by any (filtered) Fourier reconstruction. The edge map
is then processed with an edge linking segmentation algorithm. We include examples
from magnetic resonance imaging (MRI). Our results illustrate some potential benefits
of using high order methods in imaging.</p>},
issn = {1991-7120},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/cicp/7735.html}
}