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基于BEMD和自适应滤波的医学图像增强
引用本文:于子甲,章登勇,蔡碧野. 基于BEMD和自适应滤波的医学图像增强[J]. 微计算机信息, 2011, 0(9)
作者姓名:于子甲  章登勇  蔡碧野
作者单位:长沙理工大学计算机与通信工程学院;
摘    要:针对医学图像存在低对比度和质量差的主要问题,本文提出了一种基于BEMD和自适应滤波的医学图像增强新算法。首先,对医学图像进行BEMD分解,然后用自适应滤波对频率域进行去噪,再使用不同的加权值提高子带图像的高频系数,最后对图像进行重构得到增强图像。实验表明,该方法不仅提高了图像的细节信息,而且有效地保留了图像的边缘特征。

关 键 词:经验模式分解  自适应滤波  图像增强  峰值信噪比  

Medical image enhancement based on BEMD and Adaptive filter
YU Zi-jia ZHANG Deng-yong CAI Bi-ye. Medical image enhancement based on BEMD and Adaptive filter[J]. Control & Automation, 2011, 0(9)
Authors:YU Zi-jia ZHANG Deng-yong CAI Bi-ye
Affiliation:YU Zi-jia ZHANG Deng-yong CAI Bi-ye(School of Computer and Telecommunications,changsha university of science and technology,Changsha Hunan,410114,China)
Abstract:For low contrast and poor quality are main problems in the production of medical images.A novel medical image enhancement algorithm based on BEMD and Adaptive filter is proposed.Firstly,a medical image was decomposed with BEMD.Secondly,noise in the frequency field was reducded by the adaptive filter method.Thirdly,high-frequency coefficients were enhanced by different weight values in different sub-image.Lastly,the enhanced image was obtained through reconstruction.Experiments showed that this method can no...
Keywords:EMD  Adaptive filter  image enhancement  PSNR  
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