| CDF(2,2)小波在悬沙图像分析中的应用 |
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| 引用本文： | 邵若莉,于连生.CDF(2,2)小波在悬沙图像分析中的应用[J].海洋技术,2007,26(2):60-64. |
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| 作者姓名： | 邵若莉 于连生 |
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| 作者单位： | 1. 大连理工大学,土木建筑设计研究院,大连,辽宁,116024
2. 国家海洋技术中心,天津,300111 |
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| 基金项目： | 中国博士后科学基金资助项目(2005037155) |
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| 摘 要： | 利用双正交小波CDF(2,2)分解的各级小波系数能够充分体现悬沙图像中颗粒信息的特点,并结合各级小波中不同的功率分布,提出了一种对各级小波系数进行非线性调整的自适应算法。该算法能够在清除无关背景色的同时,可以最大程度地保留颗粒信息,进而获得很好的二值化图像,有利于颗粒图像的深入分析。
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| 关 键 词： | 双正交小波 CDF(2 2) 悬沙图像 颗粒 |
| 文章编号： | 1003-2029（2007）02-0060-05 |
| 收稿时间： | 2006-12-15 |
| 修稿时间： | 2006年12月15 |
CDF(2,2) Wavelet Applied to Analysis of Suspended Sediment Image |
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| SHAO Ruo-li,YU Lian-sheng.CDF(2,2) Wavelet Applied to Analysis of Suspended Sediment Image[J].Ocean Technology,2007,26(2):60-64. |
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| Authors: | SHAO Ruo-li YU Lian-sheng |
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| Institution: | 1. Design Institute of Civil and Architecture, Dalian University of Technology, Dalian 116024, China;2. National Ocean Technology Center, Tianjin 300111, China |
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| Abstract: | The detailed information of suspended sediment image can be reflected by the decomposition coefficients of biorthogonal wavelet of CDF(2,2).Based on the power distribution of different scale,an adaptive method is proposed in this paper,and the coefficients can be modified in non-linear mode.As well as the effective elimination of background,the best part of particle information can be kept.The good binary image can be obtained,which is very helpful for the further analysis. |
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| Keywords: | Biorthogonal wavelet CDF(2 2) Suspended Sediment Image Particle |
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