| 二维小波分析理论及其在显微图像去噪中的应用 |
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| 引用本文： | 李庆武,何春元,王珺.二维小波分析理论及其在显微图像去噪中的应用[J].河南师范大学学报(自然科学版),2005,33(2):44-46,64. |
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| 作者姓名： | 李庆武 何春元 王珺 |
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| 作者单位： | 1. 河海大学,计算机及信息工程学院,江苏,常州,213022
2. 河海大学,数理部,江苏,常州,213022 |
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| 基金项目： | 河海大学科研基金资助项目(04B001-01) |
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| 摘 要： | 阐述了二维小波分析理论,把二维离散小波分解与重构算法应用在显微图像的去噪中.对采用不同方法去噪后的图像按照分水岭算法进行分割,然后进行对比.实例结果表明小波分析方法效果较好.
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| 关 键 词： | 小波分析 显维图像 去噪 分割 |
| 文章编号： | 1000-2367(2005)02-0044-03 |
Two-Dimensional Wavelet Analysis Theory and Its Application in Eliminating Noises of Microscopic Image |
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| LI Qing-wu,HE Chun-yuan,WANG Jun.Two-Dimensional Wavelet Analysis Theory and Its Application in Eliminating Noises of Microscopic Image[J].Journal of Henan Normal University(Natural Science),2005,33(2):44-46,64. |
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| Authors: | LI Qing-wu HE Chun-yuan WANG Jun |
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| Institution: | LI Qing-wu~ 1a,HE Chun-yuan~ 1b,WANG Jun~ 1a |
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| Abstract: | Two-dimensional wavelet analysis theory is introduced. Two-dimensional discrete wavelet decomposition and construction algorithm is applied in eliminating noises of microscopic image. The same microscopic image is de-noised with other two methods. These three images are segmented with watershed algorithm. The effects are compared then. The result proves that the method of wavelet analysis is better than others. |
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| Keywords: | wavelet analysis microscopic image de-noise Watershed segmentation |
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