基于方向可调滤波器的血管图像增强算法  

Vascular Image Enhancement Using Steerable Filters

作　　者：王依人 邓国庆[1] 夏营威[1] 张龙[1] 刘勇[1] 张文[1,2] Wang Yiren;Deng Guoqing;Xia Yingwei;Zhang Long;Liu Yong;Zhang Wen(Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences Hefei, Hefei 230031 China;University of Science and Technology of China Hefei, Hefei 230036 China)

机构地区：[1]中国科学院合肥物质科学研究院应用技术研究所,安徽合肥230031 [2]中国科学技术大学,安徽合肥230026

出　　处：《系统仿真学报》2018年第6期2095-2101,共7页Journal of System Simulation

基　　金：中国科学院STS项目(KFJ-SW-STS-161);安徽省科技重大专项计划项目(15CZZ02019)

摘　　要：针对传统算法增强血管的各种问题,提出一种基于方向可调滤波器的血管图像增强方法。该方法以机器视觉系统为硬件平台,采用方向可调滤波器滤波,提取各方向静脉血管;利用小波变换进行图像融合,获取静脉高频信息;通过非线性反锐化掩膜,分层增强血管图像。实验结果表明:该方法能够有效抑制噪声,减少信息丢失,达到较好的增强效果。Based on the weakness of traditional image enhancement algorithms, an enhancement algorithm with steerable filter is put forward, which uses computer vision system as hardware platform. A steerable filter is applied for taking vein information in different directions. The wavelet transform is used to fuse image for high frequency information on vein. The nonlinear unsharp masking enhancement algorithm is used to escalate vein image. Experiment results show that the new algorithm can effectively suppress noise, reduce information loss and achieve better enhancement.

关 键 词：图像增强 方向可调滤波器 小波变换 反锐化掩膜 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]