基于边缘检测加权引导滤波的指静脉图像增强算法

发布时间：2018-04-04 20:14

本文选题：图像处理　切入点：指静脉图像增强　出处：《激光与光电子学进展》2017年02期

【摘要】：针对基于引导滤波的指静脉图像增强算法不能突出静脉纹理细节信息的问题,提出了基于边缘检测加权引导滤波算法。通过计算指静脉图像的边缘算子幅值,对引导滤波中固定的规整化因子进行惩罚,分别得到了静脉纹理区域和平滑区域的自适应规整化因子,从而使滤波器具有更好的边缘保护特性。该算法在降低噪声的同时,能保留并突出图像更多的静脉纹理细节。在国内和国外两个数据库上,对基于边缘检测加权引导滤波与基于引导滤波的两类指静脉图像增强算法进行了对比实验,结果表明,前者在时间复杂度不变的情况下具有更低的错误识别率。
[Abstract]:Aiming at the problem that the enhancement algorithm of digital vein image based on guided filter can not highlight the details of vein texture, a weighted guided filtering algorithm based on edge detection is proposed.By calculating the amplitude of the edge operator of the digital vein image, the fixed regularization factor in the guided filter is punished, and the adaptive regularization factors of the vein texture region and the smooth region are obtained, respectively.Thus, the filter has better edge protection characteristics.The algorithm not only reduces noise, but also keeps and highlights more details of vein texture.Two kinds of digital vein image enhancement algorithms based on edge detection weighted guided filter and guided filter are compared on domestic and foreign databases. The results show that,The former has lower error recognition rate when the time complexity is invariable.
【作者单位】：安徽大学计算机科学与技术学院;
【基金】：国家自然科学基金(61372137) 安徽大学信息保障技术协同创新中心开放课题(ADXXBZ201411);安徽大学大学生科研训练计划(KYXL2015030)
【分类号】：TP391.41

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