Segmentation of images from fourier spectral data

Anne Gelb, Dennis Cates

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)326-349
Number of pages24
JournalCommunications in Computational Physics
Issue number2-4
StatePublished - Feb 2009


  • Edge detection
  • Fourier coefficients
  • Segmentation

ASJC Scopus subject areas

  • Physics and Astronomy (miscellaneous)


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