| 基于局部灰度极小值的掌脉图像分割方法 |
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| 引用本文： | 苑玮琦,王楠. 基于局部灰度极小值的掌脉图像分割方法[J]. 光电子．激光, 2011, 0(7): 1091-1096 |
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| 作者姓名： | 苑玮琦 王楠 |
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| 作者单位： | 沈阳工业大学视觉检测技术研究所；;沈阳工业大学视觉检测技术研究所； |
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| 基金项目： | 国家自然科学基金资助项目(60972123);教育部高等学校博士学科点专项科研基金资助项目(20092102110002);沈阳市科技计划资助项目(F10-213-1-00) |
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| 摘 要： | 针对手掌皮下静脉（简称掌脉）成像照度不均匀、对比度低和噪声严重,提出一种基于局部灰度极小值掌脉图像自动分割方法,回避了阈值选择,能够有效解决光照不均、对比度低、噪声严重等干扰。通过自建掌脉图库的实验结果表明,该方法除了能够有效地抑制噪声、光照不均和对比度低的影响外,与目前的掌脉分割方法相比,在掌脉提取连续性和不需要选择...
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| 关 键 词： | 手掌静脉(掌脉)图像分割 边缘检测 灰度极小值 掌脉识别 |
Palm-vein image segmentation method based on local gray minimum |
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| YUAN Wei-qi and WANG Nan. Palm-vein image segmentation method based on local gray minimum[J]. Journal of Optoelectronics·laser, 2011, 0(7): 1091-1096 |
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| Authors: | YUAN Wei-qi and WANG Nan |
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| Affiliation: | Computer Vision Group,Shenyang University of Technology,Shenyang 110870,China;Computer Vision Group,Shenyang University of Technology,Shenyang 110870,China |
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| Abstract: | There are the problems of inhomogeneous illumination,low-contrast and severe noise in the palm-vein image.This paper proposes a method for the palm-vein image segmentation automatically based on local gray minimum.This method avoids threshold selection and is able to solve the disturbances of inhomogeneous illumination,low contrast,and severe noise effectively.The results of the experiment taken in the palm-vein image database built by our laboratory prove that this method can restrain the influ... |
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| Keywords: | palm vein image segmentation edge detection gray minimum palm vein recognition |
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