基于多阈值模糊增强的手指静脉图像分割  

Method for finger vein feature segmentation based on multi-threshold fuzzy enhancement

作　　者：陈立伟[1] 倪杰[1] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001

出　　处：《应用科技》2011年第4期14-18,共5页Applied Science and Technology

基　　金：国家自然科学基金资助项目(60702053)

摘　　要：根据手指静脉图像的特点,针对经典阈值方法难以满足图像多属性分割要求的不足,文章在单层次模糊图像增强算法的基础上,提出了一种改进的手指静脉图像分割算法,讨论了该算法的基本原理和具体计算步骤.实验结果表明:与传统的方法相比,该算法方法简单、容易实现,对低质量手指静脉的分割达到了令人满意的效果,分割结果不但准确而且纹路具有明显方向性.The classical method of image threshold segmentation is difficult to meet the requirement of multi-attribute segmentation.Based on the features of the finger vein image and the sheer level fuzzy image enhancement algorithm,an enhanced method is proposed for extracting finger vein features,and the fundamental theory and concrete calculation steps are discussed.The experimental results show that the proposed image segmentation method is simple,easy to be achieved,comparing with traditional feature extraction algorithm.The effect of extracting finger vein feature is satisfactory,and the extracted feature is accurate.Segmentation results have accurate orientation and the grain is obvious.

关 键 词：手指静脉 特征提取 模糊增强 图像分割 

分 类 号：TP911.7[自动化与计算机技术]