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基于Niblack的手掌静脉图像二值化技术研究
引用本文:吴留生,陈家新,黎蔚.基于Niblack的手掌静脉图像二值化技术研究[J].通信技术,2010,43(1):112-114.
作者姓名:吴留生  陈家新  黎蔚
作者单位:河南科技大学电子信息工程学院,河南,洛阳,471003
摘    要:针对Niblack动态阈值算法在进行手掌静脉图像二值化时,容易产生伪噪声块、断纹的现象。分四块局部均值算法对于对比度较低的手掌静脉图像部分,具有较好的二值化效果。结合分四块局部均值法的优势,在Niblack动态阈值算法基础上,提出一种新的融合二值化算法。实验结果表明,该算法能够有效地消除噪声块,克服纹路断开现象,更好的保持原静脉架构,满足后续工作的需要。

关 键 词:手掌静脉  局部均值  二值化  Niblack

Niblack-based Binaryzation Algorithm for Palm Vein Image
WU Liu-sheng,CHEN Jia-xin,LI Wei.Niblack-based Binaryzation Algorithm for Palm Vein Image[J].Communications Technology,2010,43(1):112-114.
Authors:WU Liu-sheng  CHEN Jia-xin  LI Wei
Institution:WU Liu-sheng,CHEN Jia-xin,LI Wei(School of Electronic Information Engineering,Henan University of Science , Technology,Luoyang Henan 471003,China)
Abstract:The original dynamic threshold Niblack algorithm is easy to produce the pseudonoise block and break the connection of veins,and affect the next procedure.The four-part-average algorithm for the low-contrast parts of the palm vein image is of a better binarization result.So in combination of four-part-average algorithm with dynamic threshold Niblack algorithm,this paper proposes a novel binaryzation technology.The experimental results show that this novel algorithm could effectively remove the noise and keep...
Keywords:Niblack
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