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• 计算机科学 • 上一篇    下一篇

基于小波去噪和直方图模板均衡化的手指静脉图像增强

温学兵, 赵江魏, 梁学章   

  1. 吉林大学 数学研究所, 长春 130012
  • 收稿日期:2007-12-29 修回日期:1900-01-01 出版日期:2008-03-26 发布日期:2008-03-26
  • 通讯作者: 梁学章

Image Enhancement of Fingervein Patterns Based onWavelet Denoising and Histogram Template Equalization

WEN Xuebing, ZHAO Jiangwei, LIANG Xuezhang   

  1. Institute of Mathematics, Jilin University, Changchun 130012, China
  • Received:2007-12-29 Revised:1900-01-01 Online:2008-03-26 Published:2008-03-26
  • Contact: LIANG Xuezhang

摘要: 提出一种手指静脉图像增强算法. 该算法包括去噪、 对比度增强和二值化. 在去噪部分, 根据小波变换后各频带的不同特点, 结合手指静脉的特点, 分别设计了不同的去噪策略; 在增强部分, 设计了一种新的方法, 称为灰度直方图模板均衡化方法, 较好地增强了静脉和背景的对比度; 在二值化部分, 采用了OTSU方法. 实验表明, 该算法能有效的增强图像的对比度, 改善图像的质量.

关键词: 图像增强, 小波变换, 手指静脉图像

Abstract: We proposed a new method to enhance the contrast of the finger-vein image. The method consists of three parts: wavelet denoising, contrast enhancement and binary image. In wavelet denosing, we made use of the different characteristics of each frequency band and finger-vein after wavelet transform to design different methods of denosing. In contrast enhancement, we designed histogram template equalization method. With the aid of this method, the contrast of the finger-vein image can be properly enhanced. In binary image, we just used the OTSU method. The experimental results show that our method is effective.

Key words: image enhancement, wavelet transform, fingervein image

中图分类号: 

  • TP301