WAVELET-BASED EDGE DETECTION IN DIGITAL IMAGES

被引：3

作者：

Hussain, Muhammad ^{[1
]}

Abdukirim, Turghunjan ^{[2
]}

Okada, Yoshihiro ^{[3
]}

机构：

[1] King Saud Univ, Dept Comp Sci, Riyadh 11543, Saudi Arabia

[2] Xinjiang Normal Univ, Maths Phys & Informat Inst, Urumqi 830054, Peoples R China

[3] Kyushu Univ, Grad Sch Informat Sci & Elect Engn, Kasuga, Fukuoka 816, Japan

来源：

INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS | 2008年 / 8卷 / 04期

关键词：

Lifting dyadic wavelets; edge detection; wavelet transform;

D O I：

10.1142/S0219467808003210

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：513 / 533

页数：21

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