Feature detection from local energy

M. C. Morrone, R. A. Owens

Research output: Contribution to journalArticlepeer-review


A more general definition of features such as edges, shadows and bars is developed, based on an analysis of the phase of the harmonic components. These features always occur at points of maximum phase congruency, the type of feature depending on the value of the phase. Using the image itself and its Hilbert transform, a local energy function is defined and it is shown that the local maxima of this energy function occur at points of maximum phase congruency.

Original languageEnglish
Pages (from-to)303-313
Number of pages11
JournalPattern Recognition Letters
Issue number5
Publication statusPublished - 1987


  • Edge detection
  • energy
  • Hilbert transform
  • odd and even symmetric filters
  • phase

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Electrical and Electronic Engineering

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