• DocumentCode
    759853
  • Title

    Scaling theorems for zero crossings of bandlimited signals

  • Author

    Anh, Vo ; Shi, Ji Yu ; Tsui, Hung Tat

  • Author_Institution
    Sch. of Math., Queensland Univ., Brisbane, Qld., Australia
  • Volume
    18
  • Issue
    3
  • fYear
    1996
  • fDate
    3/1/1996 12:00:00 AM
  • Firstpage
    309
  • Lastpage
    320
  • Abstract
    Scale-space filtering is the only known method which provides a hierarchic signal description method by extracting features across a continuum of scales. One of its important characteristics is that it demands the filtering involved does not create generic features as the scale increases. It has been shown that the Gaussian filter is unique in holding this remarkable property. This is in essence the so-called scaling theorem. In this paper, we propose two scaling theorems for band-limited signals. They are applicable to a broader class of signals and a bigger family of filtering kernels than in Babaud et al. (1986), Yuille et al. (1986) and Wu-Xie (1990). An in-depth discussion of our theorems and the previously published ones is also given
  • Keywords
    Fourier transforms; feature extraction; filtering theory; image processing; signal processing; Fourier transform; Gaussian kernels; Whittaker-Shannon sampling; band-limited signals; bandlimited signals; feature extraction; hierarchic signal description; quadratic forms; scale-space filtering; scaling theorem; shift invariant filtering; zero crossings; Feature extraction; Filtering; Filters; Humans; Information analysis; Kernel; Morphology; Sampling methods; Signal analysis; Visual system;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.485558
  • Filename
    485558