重庆邮电大学学报（自然科学版）2011，Vol.23Issue(2)：224-230,7.DOI:10.3979/j.issn.1673-825X.2011.02.019
基于脊波变换的手指静脉图像增强研究
Study on finger vein image enhancement based on ridgelet transformation
摘要
Abstract
According to features of the human finger vein images, the algorithm of image enhancement based on the ridgelet transformation is presented in this paper. Firstly the high-frequency sub-band coefficients are transformed by ridgelet after the finger vein image's wavelet transformation. Then the ridgelet coefficients are processed by using the non-linear new coefficient-determined method. At last do the inverse ridgelct transformation for each high-frequency sub-band and the wavelet reconstruction. The algorithm is effective in processing the finger vein's two-dimensional curve singularity and the image edge enhancement. It overcomes the shortages of wavelet transformation in high-dimensional curve singularity and direction choices. Comparing with the traditional two-dimensional discrete wavelet transformation and the ridgelet transformation algorithm through adaptively adjusting the ridge]et transformed coeffients, the experimental results show that the algorithm presented in this paper has a better effect in finger vein's image enhancement.关键词
脊波变换/小波变换/图像增强/手指静脉/阈值函数Key words
Ridgelet transformation/ wavelet transformation/ image enhancement/ finger vein/ threshold function.分类
信息技术与安全科学引用本文复制引用
李洪兵,余成波,张冬梅,周召敏..基于脊波变换的手指静脉图像增强研究[J].重庆邮电大学学报（自然科学版）,2011,23(2):224-230,7.基金项目
The International Science & Technology Cooperation Program of China(2010DFA1160) （2010DFA1160）
