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Multi-scale edge detection of the image based on the interval biorthogonal wavelet

YANG Wei1,2;SU Wan-li3;SONG Guo-xiang1

(1. School of Science, Xidian Univ., Xi'an 710071, China;
2. ept. of Computation Science and Mathematics, Guilin Univ. of Electronic Technology, Guilin 541004, China;
3. School of Computer Science and Technology, Xidian Univ., Xi'an 710071, China)

Received:1900-01-01 Revised:1900-01-01 Online:2004-08-20 Published:2004-08-20

Abstract

Abstract: Th ability of the interval biorthogonal wavelet to detect the multi-scale edge is theoretically analyzed. The wavelet transform of the image is performed by the biorthogonal wavelet with the vanishing moments N=N(~)=3 in the interval [0,1]. Then a multi-scale edge detection algorithm of the wavelet is proposed to obtain the local maxima along the direction given by the angle image. Simulation results show that teh biorthogonal wavelet in the interval is more suitable for the edge detection of images than both Daubechies' biorthogonal wavelet and orthogonal wavelet.

Key words: interval biorthogonal wavelet, multi-scale edge detection, wavelet transform

CLC Number:

TN911

YANG Wei1;2;SU Wan-li3;SONG Guo-xiang1.

Multi-scale edge detection of the image based on the interval biorthogonal wavelet

[J].J4, 2004, 31(4): 630-633.

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Multi-scale edge detection of the image based on the interval biorthogonal wavelet

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