| 基于小波变换的模极大值图像边缘检测算法 |
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| 引用本文： | 刘李鹂,高智勇,刘向明.基于小波变换的模极大值图像边缘检测算法[J].中南民族大学学报(自然科学版),2006,25(4):42-45. |
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| 作者姓名： | 刘李鹂 高智勇 刘向明 |
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| 作者单位： | 中南民族大学,电子信息工程学院,武汉,430074 |
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| 摘 要： | 将小波分析技术运用到图像边缘检测中以勾勒图像轮廓，提出了基于小波变换的模极大值边缘检测算法．利用二次B样条小波和Mallat算法对图像进行了边缘检测．仿真结果表明：该方法去噪效果好，能提取图像中较弱的边缘，且边缘具有很强的连续性，明显优于传统的边缘检测算子．
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| 关 键 词： | 小波变换 边缘检测 模极大值 |
| 文章编号： | 1672-4321（2006）04-0042-04 |
| 收稿时间： | 2006-09-25 |
| 修稿时间： | 2006年9月25日 |
Algorithm Implementation of Image Edge Detection Based on Wavelet Transform |
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| Liu Lili,Gao Zhiyong,Liu Xiangming.Algorithm Implementation of Image Edge Detection Based on Wavelet Transform[J].Journal of South-Central Univ for,2006,25(4):42-45. |
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| Authors: | Liu Lili Gao Zhiyong Liu Xiangming |
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| Institution: | Biomedical Engineering Institution, SCUFN, Wuhan 430074, China |
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| Abstract: | Wavelet analysis technique is widely used in image edge detection to outline silhouette edge. An algorithm of edge detection on the basis of maximum of wavelet transform modulus has been presented in this paper. The edges of image are detected by quadratic B-spline wavelet and Mallat algorithm. The result of simulation shows that the method can detect weak edges which possess strong continuity and anti-noise property, also is superior to the traditional edge detection operators. |
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| Keywords: | wavelet transform edge detection modulus maximum |
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