| 面向脑血管分割的改进型非局部均值滤波算法研究 |
| |
| 引用本文： | 陈星,宋智洋,周明全,武仲科,王醒策.面向脑血管分割的改进型非局部均值滤波算法研究[J].中国光学,2014,7(4):572-580. |
| |
| 作者姓名： | 陈星 宋智洋 周明全 武仲科 王醒策 |
| |
| 作者单位： | 北京师范大学 信息科学与技术学院, 北京 100875 |
| |
| 基金项目： | 国家自然科学基金资助项目(No.61271366,No.61170170,No.61003134,No.61170203);中央高校基本科研业务费专项基金资助项目(No.2012LYB49);北京市科技支撑资助项目(No.Z131110000613062) |
| |
| 摘 要： | 介绍了经典非局部均值滤波算法与Manjón非局部均值滤波算法，改进了非局部均值滤波方法的相似度权值，使算法在具有旋转平移不变性，保持时间复杂度的同时优化了视觉效果与信噪比。实验通过添加噪声标准差从10~100不等的高斯加性噪声，比较了改进后的算法与传统滤波算法以及Manjón非均值滤波算法，结果表明，改进后的算法无论从视觉上还是数值上都优于Manjón非均值滤波算法。
|
| 关 键 词： | 医学图像降噪 脑血管 非局部均值滤波 |
| 收稿时间： | 2014-02-25 |
An improved non-local mean filter filtering algorithm facing the cerebrovascular segmentation |
| |
| CHEN Xing;SONG Zhi-yang;ZHOU Ming-quan;WU Zhong-ke;WANG Xing-ce.An improved non-local mean filter filtering algorithm facing the cerebrovascular segmentation[J].Chinese Optics,2014,7(4):572-580. |
| |
| Authors: | CHEN Xing;SONG Zhi-yang;ZHOU Ming-quan;WU Zhong-ke;WANG Xing-ce |
| |
| Institution: | College of Information Science and Technology, Beijing Normal University, Beijing 100875, China |
| |
| Abstract: | We introduce the classical non-local means filtering algorithm and the improved non-local means filtering algorithm with the weight function modified by Manj on.In this paper, we propose different weight function , and make it have rotating shift invariance for the local windows while keeping the time complexity of opti -mizing the visual effect and SNR .By adding noise standard deviation from Gaussian additive noise ranging from 10 to 100 , we compare the improved algorithms with traditional filtering algorithms and Manj on non-mean filtering algorithm.The results show that the improved algorithm from either visual or numerical is superior to Manjon non-mean filtering algorithm . |
| |
| Keywords: | medical image de-noising cerebrovascular non-local means filter（NLM） |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《中国光学》浏览原始摘要信息 |
| 点击此处可从《中国光学》下载免费的PDF全文 |
