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| 基于全向小波的图像边缘检测算法 | |
| 引用本文： | 李哲涛,李仁发,谢井雄.基于全向小波的图像边缘检测算法[J].电子学报,2012,40(12):2451-2455. |
| 作者姓名： | 李哲涛 李仁发 谢井雄 |
| 作者单位： | 1. 湘潭大学信息工程学院,湖南湘潭411105;国防科学技术大学计算机学院,湖南长沙410073;湘潭大学智能计算与信息处理教育部重点实验室,湖南湘潭411105 2. 湖南大学信息科学与工程学院,湖南长沙,410082 3. 湘潭大学信息工程学院,湖南湘潭411105;湘潭大学智能计算与信息处理教育部重点实验室,湖南湘潭411105 |
| 基金项目： | 国家自然科学基金，湖南省科技厅科技计划，湖南省自然科学基金湘潭联合基金，湖南省高校创新平台开放基金，湘潭大学博士启动项目 |
| 摘 要： | 针对现有边缘检测算法难以提取图像任意方向的边缘特征,提出基于全向小波的图像边缘检测算法.首先,定义了全向小波的概念、构造其模型并推导了全向小波的最大值与梯度模值相等的关系.理论分析表明本文算法始终沿小波变换值的最大值方向提取边缘.然后,选择二维高斯函数实例化模型,以8方向和3×3变换窗为例进行算法设计.标准图像对比试验表明本文算法能提取更多方向的边缘特征、边界清晰度也比SADD算法、Canny算子分别高出约2.17%、8.66%. |
| 关 键 词： | 梯度模值 方向小波 边缘检测 图像处理 |
| 收稿时间： | 2012-04-23 |
An Edge Detection Algorithm Based on Omni-Directional Wavelet Transform |
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| LI Zhe-tao , LI Ren-fa , XIE Jing-xiong.An Edge Detection Algorithm Based on Omni-Directional Wavelet Transform[J].Acta Electronica Sinica,2012,40(12):2451-2455. | |
| Authors: | LI Zhe-tao LI Ren-fa XIE Jing-xiong |
| Affiliation: | 1. The College of Information Engineering,Xiangtan University,Xiangtan,Hunan 411105,China;2. School of Computer,National University of Defense Technology,Changsha,Hunan 410073,China;3. Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education,Xiangtan University,Xiangtan,Hunan 411105,China;4. School of Information Science and Technology,Hunan University,Changsha,Hunan 410082,China |
| Abstract: | Existing edge detection algorithms are difficult to extract image edge characteristics in all directions.An edge detection algorithm based on Omni-directional wavelet transform (OWT) was proposed in this paper.First,the concept of Omni-direction wavelet was proposed.We constructed its model and analyzed the relation between the maximal value of Omni-directional wavelet and gradient magnitude.Theoretical analysis demonstrated that OWT always extract edges along the direction of maximal gratitude.Second,2D gauss function was selected to instantiate the model.We designed OWT algorithm based on 8 directions and 3*3 mapping window.Experimental results show that OWT can extract plenty edge features in more directions from visual sense and better than SADD,Canny algorithm in Image-Edge-Definition (IED) by 2.17,8.66 percent,respectively. |
| Keywords: | gradient magnitude directional wavelet edge detection image processing |
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