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.
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.
出处
《吉林大学学报（理学版）》
CAS
CSCD
北大核心
2008年第2期291-292,共2页
Journal of Jilin University:Science Edition
基金
国家自然科学基金(批准号:60673021)
关键词
图像增强
小波变换
手指静脉图像
image enhancement
wavelet transform
finger-vein image
