• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

基于新型脉冲检测器和非局部均值的乳腺X线图像高效去噪框架

Efficient Denoising Framework for Mammogram Images with a New Impulse Detector and Non-Local Means.

作者信息

Rajaguru Harikumar, S R Sannasi Chakravarthy

机构信息

Department of Electronics and Communication Engineering, Bannari Amman Institute of Technology, India.

出版信息

Asian Pac J Cancer Prev. 2020 Jan 1;21(1):179-183. doi: 10.31557/APJCP.2020.21.1.179.

DOI:10.31557/APJCP.2020.21.1.179
PMID:31983182
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7294012/
Abstract

OBJECTIVE

The survival rates of breast cancer are increasing as screening and diagnosis improve. The removal of noise is revealed to be a significant step for automatic - computer aided detection (CAD) of microcalcification in digital mammography.

METHODS

In this paper, a combined approach for eradicating impulse noise from digital mammograms is proposed. The process is achieved in two stages, detection of noise followed by filtering of noise. The detection of noise is carried out by using Modified Robust Outlyingness Ratio (mROR) trailed by an extended NL (Non-Local)-means filter for filtering mechanism.

RESULTS

According to the value of mROR, all pixels in mammogram images are divided into four distinct groups. In each cluster, many decision rules are then applied for detecting the impulse noise. Filtering is done with NL-means filter by providing a reference mammogram image.

CONCLUSION

The comparative analysis and evaluated results are compared with some existing filters which indicate that the proposed structure outperforms the analysed result of others.

摘要

目的

随着筛查和诊断水平的提高，乳腺癌的生存率正在上升。去除噪声被证明是数字乳腺摄影中微钙化自动计算机辅助检测（CAD）的重要一步。

方法

本文提出了一种消除数字乳腺X线照片中脉冲噪声的组合方法。该过程分两个阶段完成，即噪声检测和噪声滤波。噪声检测通过使用改进的鲁棒离群率（mROR）进行，随后使用扩展的非局部均值（NL）滤波器进行滤波。

结果

根据mROR的值，乳腺X线照片图像中的所有像素被分为四个不同的组。在每个聚类中，然后应用许多决策规则来检测脉冲噪声。通过提供参考乳腺X线照片图像，使用NL均值滤波器进行滤波。

结论

将比较分析和评估结果与一些现有滤波器进行了比较，结果表明所提出的结构优于其他分析结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0047/7294012/480b5e275a9e/APJCP-21-179-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0047/7294012/130ff678a720/APJCP-21-179-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0047/7294012/da0754de99d9/APJCP-21-179-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0047/7294012/4e722489a61d/APJCP-21-179-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0047/7294012/480b5e275a9e/APJCP-21-179-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0047/7294012/130ff678a720/APJCP-21-179-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0047/7294012/da0754de99d9/APJCP-21-179-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0047/7294012/4e722489a61d/APJCP-21-179-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0047/7294012/480b5e275a9e/APJCP-21-179-g004.jpg

相似文献

1
Efficient Denoising Framework for Mammogram Images with a New Impulse Detector and Non-Local Means.基于新型脉冲检测器和非局部均值的乳腺X线图像高效去噪框架
Asian Pac J Cancer Prev. 2020 Jan 1;21(1):179-183. doi: 10.31557/APJCP.2020.21.1.179.
2
A universal denoising framework with a new impulse detector and nonlocal means.具有新脉冲检测器和非局部均值的通用去噪框架。
IEEE Trans Image Process. 2012 Apr;21(4):1663-75. doi: 10.1109/TIP.2011.2172804. Epub 2011 Oct 19.
3
Fuzzy two-step filter for impulse noise reduction from color images.用于彩色图像脉冲噪声抑制的模糊两步滤波器
IEEE Trans Image Process. 2006 Nov;15(11):3567-78. doi: 10.1109/tip.2006.877494.
4
Adaptive two-pass rank order filter to remove impulse noise in highly corrupted images.用于去除高度受损图像中脉冲噪声的自适应双程排序滤波器。
IEEE Trans Image Process. 2004 Feb;13(2):238-47. doi: 10.1109/tip.2004.823827.
5
A fuzzy impulse noise detection and reduction method.一种模糊脉冲噪声检测与降低方法。
IEEE Trans Image Process. 2006 May;15(5):1153-62. doi: 10.1109/tip.2005.864179.
6
Fuzzy random impulse noise removal from color image sequences.从彩色图像序列中去除模糊随机脉冲噪声。
IEEE Trans Image Process. 2011 Apr;20(4):959-70. doi: 10.1109/TIP.2010.2077305. Epub 2010 Sep 20.
7
Universal impulse noise filter based on genetic programming.基于遗传编程的通用脉冲噪声滤波器。
IEEE Trans Image Process. 2008 Jul;17(7):1109-20. doi: 10.1109/TIP.2008.924388.
8
Non-linear polynomial filters for edge enhancement of mammogram lesions.用于乳腺钼靶病变边缘增强的非线性多项式滤波器。
Comput Methods Programs Biomed. 2016 Jun;129:125-34. doi: 10.1016/j.cmpb.2016.01.007. Epub 2016 Jan 20.
9
An optimized blockwise nonlocal means denoising filter for 3-D magnetic resonance images.一种用于三维磁共振图像的优化分块非局部均值去噪滤波器。
IEEE Trans Med Imaging. 2008 Apr;27(4):425-41. doi: 10.1109/TMI.2007.906087.
10
Efficient improvements on the BDND filtering algorithm for the removal of high-density impulse noise.高效改进 BDND 滤波算法以去除高密度脉冲噪声。
IEEE Trans Image Process. 2013 Mar;22(3):1223-32. doi: 10.1109/TIP.2012.2228496. Epub 2012 Nov 20.

引用本文的文献

1
Towards to Optimal Wavelet Denoising Scheme-A Novel Spatial and Volumetric Mapping of Wavelet-Based Biomedical Data Smoothing.迈向最优小波去噪方案——基于小波的生物医学数据平滑的新型空间和容积映射。
Sensors (Basel). 2020 Sep 16;20(18):5301. doi: 10.3390/s20185301.

本文引用的文献

1
Lung Cancer Detection using Probabilistic Neural Network with modified Crow-Search Algorithm.使用改进的乌鸦搜索算法的概率神经网络进行肺癌检测
Asian Pac J Cancer Prev. 2019 Jul 1;20(7):2159-2166. doi: 10.31557/APJCP.2019.20.7.2159.
2
Breast cancer statistics, 2017, racial disparity in mortality by state.乳腺癌统计数据，2017 年，按州划分的死亡率种族差异。
CA Cancer J Clin. 2017 Nov;67(6):439-448. doi: 10.3322/caac.21412. Epub 2017 Oct 3.
3
Colorectal cancer statistics, 2017.结直肠癌统计数据，2017 年。
CA Cancer J Clin. 2017 May 6;67(3):177-193. doi: 10.3322/caac.21395. Epub 2017 Mar 1.
4
Cancer statistics, 2015.癌症统计数据，2015 年。
CA Cancer J Clin. 2015 Jan-Feb;65(1):5-29. doi: 10.3322/caac.21254. Epub 2015 Jan 5.
5
A universal denoising framework with a new impulse detector and nonlocal means.具有新脉冲检测器和非局部均值的通用去噪框架。
IEEE Trans Image Process. 2012 Apr;21(4):1663-75. doi: 10.1109/TIP.2011.2172804. Epub 2011 Oct 19.
6
Screening for breast cancer with mammography.通过乳房X线摄影术筛查乳腺癌。
Cochrane Database Syst Rev. 2009 Oct 7(4):CD001877. doi: 10.1002/14651858.CD001877.pub3.
7
Adaptive median filters: new algorithms and results.自适应中值滤波器：新算法与结果。
IEEE Trans Image Process. 1995;4(4):499-502. doi: 10.1109/83.370679.
8
A universal noise removal algorithm with an impulse detector.一种带有脉冲检测器的通用噪声去除算法。
IEEE Trans Image Process. 2005 Nov;14(11):1747-54. doi: 10.1109/tip.2005.857261.
9
Salt-and-Pepper noise removal by median-type noise detectors and detail-preserving regularization.通过中值型噪声检测器去除椒盐噪声以及细节保留正则化
IEEE Trans Image Process. 2005 Oct;14(10):1479-85. doi: 10.1109/tip.2005.852196.
10
Hazardous exposure to impulse noise.暴露于脉冲噪声的危险
J Acoust Soc Am. 1968 Feb;43(2):336-43. doi: 10.1121/1.1910785.