摘要
小波阈值去噪是小波阈去噪的主要方法之一,文中对B超乳腺图像进行噪声分析,在小波分解的基础上,将不同的阈值函数和不同方式选取的阈值相结合,分析其原理和方法,并利用Matlab实现,给出实验结果对比,为医学B超图像去噪提供参考依据。
Wavelet threshold denoising is one of the main methods of wavelet domain denoismg. In this paper, noise analysis of B ultrasound images has been conducted firstly. On the basis of the wavelet decomposition, different threshold functions and different ways were combined to select the thresholds, and the principles and methods were analyzed using Maflab. Finally, comparison of the experimental results were obtained, which could provide some reference to medical B ultrasonic image denoising.
出处
《信息技术》
2013年第9期55-57,共3页
Information Technology
基金
2012四川省苗子工程培育项目(2012ZZ075)
关键词
小波去噪
阈值函数
阈值选取
乳腺图像
wavelet denoising
threshold function
threshold selection
breast images
作者简介
曾晴霞（1988-），女，在读硕士研究生，研究方向为图形图像。
