二维小波分析理论及其在显微图像去噪中的应用  

Two-Dimensional Wavelet Analysis Theory and Its Application in Eliminating Noises of Microscopic Image

作　　者：李庆武[1] 何春元[2] 王珺[1] 

机构地区：[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

出　　处：《河南师范大学学报（自然科学版）》2005年第2期44-46,64,共4页Journal of Henan Normal University(Natural Science Edition)

基　　金：河海大学科研基金资助项目(04B001-01)

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.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.

关 键 词：小波分析 显维图像 去噪 分割 

分 类 号：TN911.73[电子电信—通信与信息系统]