Multilevel edge detection

Muhammad Hussain, Yoshihiro Okada, Turghunjan Abdukirim, Koichi Niijima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes a wavelet based multilevel edge detection method that exploites spline dyadic wavelets and a frame work similar that of Canny 's edge detector [2]. Using the recently proposed dyadic lifting schemes by Turghunjan et al [1], spline dyadic wavelet filters have been constructed, which are characterized by higher order of regularity and have the potential of better inherent noise filtering and detection results. Edges are determined as the local maxima in the subbands at different scales of the dyadic wavelet transform. Comparison reveals that our method performs better than Mallat's and Canny's edge detectors.

Original languageEnglish
Title of host publicationProceedings - 8th International Symposium on Signal Processing and its Applications, ISSPA 2005
Pages819-822
Number of pages4
DOIs
Publication statusPublished - 2005
Event8th International Symposium on Signal Processing and its Applications, ISSPA 2005 - Sydney, Australia
Duration: Aug 28 2005Aug 31 2005

Publication series

NameProceedings - 8th International Symposium on Signal Processing and its Applications, ISSPA 2005
Volume2

Other

Other8th International Symposium on Signal Processing and its Applications, ISSPA 2005
Country/TerritoryAustralia
CitySydney
Period8/28/058/31/05

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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