Vascular Image Enhancement Using Steerable Filters

Authors

Yiren Wang, 1. Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences Hefei, Hefei 230031 China;;2. University of Science and Technology of China Hefei, Hefei 230036 China;
Guoqing Deng, 1. Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences Hefei, Hefei 230031 China;;
Yingwei Xia, 1. Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences Hefei, Hefei 230031 China;;
Zhang Long, 1. Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences Hefei, Hefei 230031 China;;
Liu Yong, 1. Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences Hefei, Hefei 230031 China;;
Zhang Wen, 1. Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences Hefei, Hefei 230031 China;;2. University of Science and Technology of China Hefei, Hefei 230036 China;

Abstract

Abstract: 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.

Recommended Citation

Wang, Yiren; Deng, Guoqing; Xia, Yingwei; Long, Zhang; Yong, Liu; and Wen, Zhang (2018) "Vascular Image Enhancement Using Steerable Filters," Journal of System Simulation: Vol. 30: Iss. 6, Article 12.
DOI: 10.16182/j.issn1004731x.joss.201806012
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss6/12

First Page

2095

Revised Date

2016-08-03

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201806012

Last Page

2101

CLC

TP391.9

Recommended Citation

Wang Yiren, Deng Guoqing, Xia Yingwei, Zhang Long, Liu Yong, Zhang Wen. Vascular Image Enhancement Using Steerable Filters[J]. Journal of System Simulation, 2018, 30(6): 2095-2101.

Corresponding Author

Zhang Wen,

DOI

10.16182/j.issn1004731x.joss.201806012