融合Weber定律与Gabor滤波的手指静脉图像增强方法  

Finger-Vein Image Enhancement Method Combining Weber Law and Gabor Filtering

作　　者：杨玉清 郭晓静 Yang Yuqing;Guo Xiaojing(School of Computer Science and Technology,Civil Aviation University of China,Tianjin 300300,China)

机构地区：[1]中国民航大学计算机科学与技术学院,天津300300

出　　处：《激光与光电子学进展》2021年第14期141-147,共7页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(62076166)。

摘　　要：在采集手指静脉图像的过程中,近红外光在生物组织的高衰减性降低了静脉与非静脉区域的对比度,导致采集的手指静脉图像出现严重的噪声干扰。提出了一种融合Weber定律与Gabor滤波的静脉血管区域稳定增强方法,该方法以Weber定律为基础,建立了方向性Weber差分激励,并将其与Gabor滤波有机地结合起来。通过Gabor滤波的多尺度、多方向特性,放大了WLD(Weber local descriptor)的方向激励能力,实现了Gabor滤波的最优响应与Weber定律最优激励的相互配合,从而有效凸显了静脉血管成像区域,对退化手指静脉图像进行了稳定增强。实验结果表明,所提方法对图像的增强效果良好,可有效提高手指静脉网络的可区分性。In the process of acquisition of finger vein images,the high attenuation of near-infrared light in biological tissues reduces the contrast between the vein and non-vein areas,resulting in serious noise interference in the collected finger vein images.Accordingly,this paper proposes a stable enhancement method of the venous blood vessel region combining the Weber law and Gabor filtering.Based on the Weber law,the directional Weber differential excitations are established and combined with Gabor filtering organically in this method.Through the multi-scale and multi-directional characteristics of Gabor filtering,the directional excitation capability of WLD(Weber local descriptor)is amplified,and the mutual cooperation between the optimal response of Gabor filtering and the optimal excitation of Weber law is realized.This effectively highlights the venous blood vessel imaging regions and enhances the degraded finger vein images stably.The experimental results show that the method proposed in this paper has a good image enhancement effect and can effectively improve the distinguishability of the finger vein network.

关 键 词：图像处理 GABOR滤波 Weber定律 手指静脉图像 图像增强 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]