Image Edge Detection Based on Dyadic Wavelet Transform

doi:10.3969/j.issn.1006-2475.2011.04.010

Computer and Modernization ›› 2011, Vol. 1 ›› Issue (4): 32-33,5.doi: 10.3969/j.issn.1006-2475.2011.04.010

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Image Edge Detection Based on Dyadic Wavelet Transform

DONG Yi-bin, Turghunjan Abdukirim

School of Mathematical Sciences, Xinjiang Normal University, Urumqi 830054, China

Received:2010-12-31 Revised:1900-01-01 Online:2011-04-27 Published:2011-04-27

Abstract

Abstract: This paper proposes an image edge detection algorithm based on dyadic wavelet transform. Dyadic wavelet uses modulus local maximum to extract the multiscale edge information and has the shiftinvariant features, so it has fast feature extraction and accurate edge detection. Comparison of edge detection results show that dyadic wavelet edge detection has better effect than reference［4］, with obvious cell borders and clear edge.

Key words: dyadic wavelets, àtrous algorithm, image, edge detection

CLC Number:

TP391.41

DONG Yi-bin;Turghunjan Abdukirim. Image Edge Detection Based on Dyadic Wavelet Transform[J]. Computer and Modernization, 2011, 1(4): 32-33,5.

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Image Edge Detection Based on Dyadic Wavelet Transform

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