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
Link To Document