[1]贺东霞,李竹林,王静. 几种滤波算法在医学图像上的实现[J].计算机技术与发展,2014,24(08):165-167.
　HE Dong-xia,LI Zhu-lin,WANG Jing. Implementation of Several Filtering Algorithms in Medical Image[J].,2014,24(08):165-167.
点击复制

 几种滤波算法在医学图像上的实现()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年08期
页码:
165-167
栏目:
应用开发研究
出版日期:
2014-08-10

文章信息/Info

Title:
 Implementation of Several Filtering Algorithms in Medical Image
文章编号:
1673-629X（2014）08-0165-03
作者:
 贺东霞; 李竹林; 王静
 延安大学 数学与计算机科学学院
Author(s):
 HE Dong-xia; LI Zhu-lin; WANG Jing
关键词:
 ; 医学图像; Matlab; 滤除算法; 实现
Keywords:
 ; medical image; Matlab; filtering algorithm; implementation
分类号:
TP391.41
文献标志码:
A
摘要:
 文中研究的目的是通过滤噪来改善图像质量，便于医生分析CT图像和实现计算机辅助诊断对医学图像的预处理。采用均值滤波、中值滤波、自适应滤波算法对医学图像进行噪声处理。不仅提供了算法的程序代码，还通过Matlab平台进行了模拟实验。实验结果表明，均值滤波算法的滤噪能力和保护图像细节能力不及中值滤波算法，自适应中值滤波算法处理效果优于其他两种滤波算法。结论是文中所研究的几种滤波算法在医学图像上滤噪是可行且有效的。
Abstract:
 The purpose of this study is to improve image quality to filter the noise and convenient for doctors to analyze CT images and realize the pretreatment of image about computer aided diagnosis. Use average filter, median filter, adaptive median filter algorithm to process the noise of medical image. Not only provide the algorithm’ s program code but also make the simulated experiment by Matlab. Experimental results show that the average filtering algorithm’ s ability of filtering noise and protecting the image detail is less than the median filtering algorithm,adaptive median filtering algorithm processing is better than the other two filtering algorithms. The conclusion is that these noise filtering algorithms are feasible and effective in medical image.

相似文献/References:

[1]罗棻.一种简单的医学图像刚体配准方法[J].计算机技术与发展,2009,(04):210.
　LUO Fen.A Simple Method for Medical Image of Rigid Registration[J].,2009,(08):210.
[2]刘晨 张东.边缘检测算子研究及其在医学图像中的应用[J].计算机技术与发展,2006,(08):128.
　LIU Chen,ZHANG Dong.Analysis of Edge Detection Operators and Application in Medical Image[J].,2006,(08):128.
[3]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(08):1.
[4]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(08):5.
[5]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(08):13.
[6]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(08):21.
[7]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(08):25.
[8]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(08):29.
[9]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(08):34.
[10]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(08):38.
[11]林晓雷. 医学影像仿真扫描工作站的设计与实现[J].计算机技术与发展,2015,25(01):187.
　LIN Xiao-lei. Design and Implementation of Medical Imaging Simulation Scanning Workstation[J].,2015,25(08):187.
[12]叶超. 基于归一化割的血吸虫卵图像分割[J].计算机技术与发展,2015,25(11):27.
　YE Chao. Segmentation of Schistosome Eggs Image Based on Normalized Cut[J].,2015,25(08):27.
[13]徐国雄[],张骁[],胡进贤[],等. 基于阈值分割和轮廓提取的图像边缘检测算法[J].计算机技术与发展,2015,25(12):64.
　XU Guo-xiong[],ZHANG Xiao[],HU Jin-xian[],et al. Medical Cell Edge Detection Algorithm Based on Threshold Segmentation and Contour Extraction[J].,2015,25(08):64.

更新日期/Last Update: 2015-03-27