• DocumentCode
    300624
  • Title

    Composite phase and phase-based Gabor element aggregation

  • Author

    Braithwaite, R. Neil ; Bhanu, Bir

  • Author_Institution
    3241 N. Green Rd., Oak Harbor, WA, USA
  • Volume
    1
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    538
  • Abstract
    This paper describes how the phase, obtained by Gabor filtering an image, can be used to aggregate related Gabor elements (simple features identified by peaks in the Gabor magnitude). This phase-based feature grouping simplifies the perennial problem of target/background segmentation because we need to only determine if the aggregate feature is target or background, rather than determine the status of each feature independently. Since the phase from a single quadrature Gabor output cannot tolerate large changes in orientation, a new local measure, referred to as the composite phase, has been developed. It is a combination of the filter responses from multiple orientations which allows the phase to follow contours with large changes in orientation. A constant composite phase contour is used to connect related Gabor elements that would otherwise appear separated within the magnitude response
  • Keywords
    feature extraction; filtering theory; image segmentation; infrared imaging; Gabor element aggregation; Gabor filtering; composite phase; constant composite phase contour; image filtering; local measure; magnitude response; multiple orientations; phase-based feature grouping; target/background segmentation; Aggregates; Band pass filters; Data mining; Filtering; Frequency measurement; Gabor filters; Image segmentation; Kernel; Phase measurement; Target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1995. Proceedings., International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-7310-9
  • Type

    conf

  • DOI
    10.1109/ICIP.1995.531422
  • Filename
    531422