WAVELET-BASED EDGE DETECTION in DIGITAL IMAGES

Muhammad Hussain, Turghunjan Abdukirim, Yoshihiro Okada

研究成果: ジャーナルへの寄稿記事

5 引用 (Scopus)

抄録

This paper proposes a wavelet based multilevel edge detection method that exploits spline dyadic wavelets and a frame work similar to 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.

元の言語英語
ページ(範囲)513-533
ページ数21
ジャーナルInternational Journal of Image and Graphics
8
発行部数4
DOI
出版物ステータス出版済み - 10 1 2008

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Splines
Edge detection
Wavelet transforms
Detectors

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

これを引用

WAVELET-BASED EDGE DETECTION in DIGITAL IMAGES. / Hussain, Muhammad; Abdukirim, Turghunjan; Okada, Yoshihiro.

:: International Journal of Image and Graphics, 巻 8, 番号 4, 01.10.2008, p. 513-533.

研究成果: ジャーナルへの寄稿記事

Hussain, Muhammad ; Abdukirim, Turghunjan ; Okada, Yoshihiro. / WAVELET-BASED EDGE DETECTION in DIGITAL IMAGES. :: International Journal of Image and Graphics. 2008 ; 巻 8, 番号 4. pp. 513-533.
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