Near-infrared Dorsal Hand Vein Image Segmentation by Local Thresholding Using Grayscale Morphology

摘要：

This paper presents a new method of dorsal hand vein images segmentation based on local thresholding using grayscale morphology. The images, captured by nearinfrared CMOS cameras, have poor contrast, speckling noise and non-uniform lighting. After the preprocessing these images normalized, we use dilation and erosion operations to calculate the local thresholding and segment to get the binary images. We do experiments on 40 images effectively. Hence,the research will be significant for real-time applications using infrared vein image segmentation, such as identification systems and vein location or view for humans.

关键词： vein image gray morphology local thresholding

作者: Liukui Chen Hong Zheng Li Li Peng Xie Shuo Liu

作者单位: Joint Lab for Intelligent Computing and Intelligent System, School of Electronic Information, Wuhan University 129 Luoyun Road, Wuhan, Hubei 430079, P.R.China

会议类型: 国际会议

会议名称: The 1st International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2007)(首届IEEE生物信息与生物医学工程国际会议)

会议地点: 武汉

会议语种:英文

页码: 882-885

在线出版日期: 2007-07-06（万方平台首次上网日期，不代表论文的发表时间）