使用小波变换的图象边缘检测算法
AN IMAGE EDGE DETECTION ALGORITHM BASED ON THE WAVELET TRANSFORM
-
摘要: 将小波变换理论应用于图象边缘提取,提出了一种新的图象边缘检测算法。一种相对于(c0,c3)=(0.05,0.05)的对称尺度函数被用于二进小波变换,得到原图象的一个多分辨率表达式,再提取图象的边缘特征。实验结果表明,本方法是解决图象边缘提取的一个十分有效的模型。
-
关键词:
- 小波变换; 多尺度; 图象边缘; 检测
Abstract: A new image edge detection algorithm which utilizes the wavelet transform theory is proposed. A symmetric scaling function corresponding to (c0,c3) = (0.05,0.05) is used to perform the dyadic wavelet transform. The authors get a multiresolution image strategy and extract edges. Experimental results show that the algorithm is adaptive and capable for dealing with an image edge. -
Mallat S, Zhong S. Characterization of signals from multiscale edges. IEEE Trans. on PAMI, 1992, PAMI-14(7): 710-732.[2]Mallat S, Hwang W L. Singularity detection and processing with wavelets. IEEE Trans. on IT, 1992, IT-38(2): 617-643.[3]Mallat S, Zhong S. Complete Signal Representations with Multiscale Edges, Computer Science Tech. Report No. 483, Courant Institute of Mathematical Sciences, New York University, November, 1989. -
计量
- 文章访问数: 1795
- HTML全文浏览量: 117
- PDF下载量: 394
- 被引次数: 0
下载:
