A Multi-scale Edge Detection Algorithm Based on Wavelet Transform

Liu Dun, Yang Dong
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引用次数: 2

Abstract

The edge of the image is one of the most basic characteristics of image. It not only provides the basis for the image segmentation, but also the foundation of the shape features and texture characteristics and includes much useful information which is used in image identification. This paper introduces some classical edge detection methods, in the analysis of the advantages and disadvantages respectively, an edge detection algorithm based on the wavelet transform is proposed. The simulations show this algorithm obtains an ideal effect in edge location and noise suppression. The proposed algorithm provides an effective technology for the edge detection of the image.
基于小波变换的多尺度边缘检测算法
图像的边缘是图像最基本的特征之一。它不仅为图像分割提供了依据,而且是图像形状特征和纹理特征的基础,包含了许多用于图像识别的有用信息。本文介绍了几种经典的边缘检测方法,在分别分析其优缺点后,提出了一种基于小波变换的边缘检测算法。仿真结果表明,该算法在边缘定位和噪声抑制方面取得了理想的效果。该算法为图像的边缘检测提供了一种有效的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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