基于小波变换和Canny算子的图像边缘检测

Caixia Deng, Ting-ting Bai, Ying Geng
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引用次数: 19

摘要

提出了一种基于图像融合的图像边缘检测方法。针对传统小波变换不能很好地控制噪声和边缘与方向特性不一致的缺点,进行了改进,提出了一种新的小波变换。该算法分别利用新的小波变换和Canny算子对原始图像进行边缘检测,然后在实验结果的基础上对两种结果进行融合分析,得到新的图像。结果表明,与单独使用Sobel或小波变换算法相比,该方法能提供更清晰、更光滑的边缘。该算法简单实用,易于实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image edge detection based on wavelet transform and Canny operator
A method for image edge detection based on image fusion is presented in this paper. Since traditional wavelet transforms are unable to control the noise well and the edge is not consistent with direction properties, some improvements are made and a new kind of wavelet transform is proposed. It detects the edge of original image by means of new wavelet transform and Canny operator respectively, then produces a new image by fusing and analyzing the two results based on the experimental results. It is shown that the proposed method provides clearer and smoother edges than that using Sobel or wavelet transformation algorithms alone. This algorithm is simple, useful and easy to implement.
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