首页 | 本学科首页   官方微博 | 高级检索  
     

基于小波分析的红外乳腺图像去噪与增强的实验研究
引用本文:刘李鹂,高智勇,刘向明.基于小波分析的红外乳腺图像去噪与增强的实验研究[J].北京生物医学工程,2007,26(3):229-232.
作者姓名:刘李鹂  高智勇  刘向明
作者单位:中南民族大学生物医学工程研究所,武汉,430074;中南民族大学生物医学工程研究所,武汉,430074;中南民族大学生物医学工程研究所,武汉,430074
摘    要:将小波的多分辨率分析技术运用到红外乳腺图像的降噪增强处理以改善图像质量.运用不同的阈值量化策略实现图像降噪.再引入增益因子,采用基于小波变换的增强算法突出肿块阴影.通过实验将直接增强和去噪后再增强的图像进行对比可以得到清晰度更高的图像.经处理后的乳腺图像,为临床提供了更细致明确的信息,有助于提高诊断水平.

关 键 词:小波变换  红外乳腺图像  图像去噪  图像增强
文章编号:1002-3208(2007)03-0229-04
收稿时间:2006-04-11
修稿时间:2006-04-11

Experimental study of infrared mammography de-noising and enhancing based on wavelet analysis
LIU Lili,GAO Zhiyong,LIU Xiangming.Experimental study of infrared mammography de-noising and enhancing based on wavelet analysis[J].Beijing Biomedical Engineering,2007,26(3):229-232.
Authors:LIU Lili  GAO Zhiyong  LIU Xiangming
Affiliation:Biomedical Engineering Institute , South-Central University for Nationalities , Wuhan 430074
Abstract:Wavelet multiresolution analysis technique was used in the process of Infrared Mammography de-noising and enhancing to improve image quality. Images were denoised by using several methods of thresholding. The enhancement algorithm based on wavelet transform could extrude mass by adding the plus factor. Images of direct enhancement and enhanced images after denoising were compared in order to find more clear images by experiment. The processed mammography might provide specific information for clinic, and improve the level for diagnosing the state of an illness.
Keywords:wavelet transform  infrared  mammography  image denoising  image enhancement
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号