| 基于提升算法的不可分离小波图像边缘检测 |
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| 引用本文： | 康志伟,廖剑利,何怡刚.基于提升算法的不可分离小波图像边缘检测[J].华中科技大学学报(自然科学版),2006,34(4):56-58,62. |
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| 作者姓名： | 康志伟 廖剑利 何怡刚 |
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| 作者单位： | 湖南大学,计算机与通信学院,湖南,长沙,410082;湖南大学,电气与信息学院,湖南,长沙,410082 |
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| 基金项目： | 中国科学院资助项目;广东省博士启动基金 |
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| 摘 要： | 针对传统可分离小波图像边缘检测方法的各向异性和计算复杂性，应用基于“五株排列”的提升不可分离小波的构造方法，把基于矩形栅格的数字图像分成红块和黑块，然后根据图像边缘特点，利用二维提升格式构造了“最大-提升”小波，进而提出了一种基于提升算法的不可分离小波图像边缘检测新方法，通过与传统的B样条小波边缘检测方法进行试验比较，证明了新方法在图像边缘检测方面具有更好的效果．
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| 关 键 词： | 图像边缘检测 提升算法 不可分离小波 "最大-提升"小波 |
| 文章编号： | 1671-4512（2006）04-0056-03 |
| 收稿时间： | 06 1 2005 12:00AM |
| 修稿时间： | 2005-06-01 |
Detection of the image edges of non-separated wavelets based on lifting scheme |
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| Kang Zhiwei,Liao Jianli,He Yigang.Detection of the image edges of non-separated wavelets based on lifting scheme[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,2006,34(4):56-58,62. |
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| Authors: | Kang Zhiwei Liao Jianli He Yigang |
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| Abstract: | Traditional image edge detection of separated wavelet shows its anisotropy and computational complexity. A new method for image edge detection was proposed by using lifting scheme of nonseparated wavelet based on the quincunx lattice, in which an image consisting of rectangular lattices was split into the red and black subsets. According to the characters of the image edge, the max-lifting wavelet was constructed using the 2D lifting scheme. The new method was compared with the classical edge detection way using B-spline wavelets. The results showed that the new method is superior to the traditional one in the experiment. |
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| Keywords: | image edge detection lifting scheme non-separated wavelet max-lifting wavelet |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
