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基于脊波变换的手指静脉图像增强研究
引用本文: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
作者姓名:李洪兵  余成波  张冬梅  周召敏
作者单位:重庆理工大学 远程测试与控制技术研究所 重庆 400050
摘    要:针对人体手指静脉图像的结构和特点,提出一种基于脊波变换的图像增强算法.该算法对手指静脉图像小波域各高频子带系数进行脊波变换,利用非线性新脊域系数确定法对脊域系数进行处理,然后对各高频子带进行脊波逆变换和小波图像重构.该算法对手指静脉二维曲线奇异处理、边缘增强等具有较好的效果,克服了小波变换在高维曲线奇异和方向选择上的不...

关 键 词:脊波变换  小波变换  图像增强  手指静脉  阈值函数
收稿时间:2010-03-09

Study on finger vein image enhancement based on ridgelet transformation
LI Hong-bing,YU Cheng-bo,ZHANG Dong-mei,ZHOU Zhao-min. Study on finger vein image enhancement based on ridgelet transformation[J]. Journal of Chongqing University of Posts and Telecommunications, 2011, 23(2): 224-230
Authors:LI Hong-bing  YU Cheng-bo  ZHANG Dong-mei  ZHOU Zhao-min
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 ridgelet 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 ridgelet transformed coeffients, the experimental results show that the algorithm presented in this paper has a better effect in finger vein s image enhancement.
Keywords:
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