2-step wavelet-based edge detection using gabor and cauchy directional wavelets

J.N. Niya, A. Aghagolzadeh, M. A. Tinati, S. Feizi
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引用次数: 6

Abstract

In this paper we propose a new wavelet-based approach for solving edge detection problem. Using primary knowledge of the direction of the edges extracted by ordinary separable and isotropic wavelet transform, we can classify the pixels as edge points, background and candidate edge point. For the candidate edge points, we propose implementing the Gabor and Cauchy directional wavelets and detecting the edge points precisely
基于gabor和cauchy方向小波的两步小波边缘检测
本文提出了一种新的基于小波的边缘检测方法。利用普通可分和各向同性小波变换提取的边缘方向的初步知识,将像素点分为边缘点、背景点和候选边缘点。对于候选边缘点,我们提出采用Gabor和Cauchy方向小波对边缘点进行精确检测
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