• DocumentCode
    1073890
  • Title

    Circular-Mellin features for texture segmentation

  • Author

    Ravichandran, G. ; Trivedi, Mohan Manubhai

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN
  • Volume
    4
  • Issue
    12
  • fYear
    1995
  • fDate
    12/1/1995 12:00:00 AM
  • Firstpage
    1629
  • Lastpage
    1640
  • Abstract
    Texture is an important cue in region-based segmentation of images. We provide an insight into the development of a new set of distortion-invariant texture operators. These “circular-Mellin” operators are invariant to both scale and orientation of the target and represent the spectral decomposition of the image scene in the polar-log coordinate system. Coupled with the unique shift invariance property of the correlator architecture, we show that these circular-Mellin operators can be used for rotation-and scale-invariant feature extraction. We note that while these feature extractors have a functional form that is similar to the Gabor operators, they have distortion-invariant characteristics unlike the Gabor functions that make them more suitable for texture segmentation. A detailed analytical description of these operators and segmentation results to highlight their salient properties are presented
  • Keywords
    correlation methods; feature extraction; functional analysis; image representation; image segmentation; image texture; spectral analysis; Gabor functions; Gabor operators; circular-Mellin features; correlator architecture; distortion invariant characteristics; distortion invariant texture operators; image segmentation; polar-log coordinate system; region based segmentation; rotation invariant feature extraction; scale invariant feature extraction; shift invariance property; spectral decomposition; texture segmentation; Computer vision; Feature extraction; Filtering theory; Higher order statistics; Humans; Image analysis; Image segmentation; Image texture analysis; Layout; Maximum likelihood detection;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.475513
  • Filename
    475513