Vascular Image Enhancement Using Steerable Filters

doi:10.16182/j.issn1004731x.joss.201806012

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.

Key words: image enhancement, steerable filter, wavelet transform, unsharp masking enhancement

CLC Number:

TP391.9

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.

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