[1]王洪亚,高尚兵,唐嵩涛,等.基于改进的水平集局部二值拟合模型车牌分割算法[J].南京师范大学学报(工程技术版),2014,14(03):075.
　Wang Hongya,Gao Shangbing,Tang Songtao,et al.An Improved License Plate Segmentation Algorithm ofLevel Set Local Binary Fitting Model[J].Journal of Nanjing Normal University(Engineering and Technology),2014,14(03):075.
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基于改进的水平集局部二值拟合模型车牌分割算法
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南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
14卷
期数:
2014年03期
页码:
075
栏目:
出版日期:
2014-09-30

文章信息/Info

Title:
An Improved License Plate Segmentation Algorithm ofLevel Set Local Binary Fitting Model
作者:
王洪亚1; 高尚兵1; 唐嵩涛2; 林岳宾3
(1.淮阴工学院计算机工程学院,江苏 淮安 223003)(2.淮安市公安局淮阴分局指挥中心,江苏 淮安 223300)(3.淮阴工学院江苏省介入医疗器械研究重点实验室,江苏 淮安 223003)
Author(s):
Wang Hongya1; Gao Shangbing1; Tang Songtao2; Lin Yuebin3
(1.College of Computer Engineering,Huaiyin Institute of Techlonogy,Huaian 223003,China)(2.Huaiyin Command Center,Huaian Public Security Bureau,Huaian 223300,China)(3.Jiangsu Provincial Key Laboratory for Interventional Medical Devices,Huaiyin Institute of Technology,Huaian 223003,China)
关键词:
车牌识别; 局部二值拟合; 字符分割
Keywords:
license plate recognition; local binary fitting; character segmentation
分类号:
TB24
文献标志码:
A
摘要:
本文提出了改进的LBF模型的轮廓演化能量函数,它结合了CV模型的能量项加快了演化速度,并在结合LBF模型中的局部均值信息的同时,引入图像的局部方差和全局方差信息.实验结果证明该方法能够提供准确的光滑的闭合的边界,精度可以达到亚像素级,系统的识别准确率高.
Abstract:
This paper proposes an improved model of contour evolution LBF energy function,which combines the CV model energy term to accelerate evolution rate,and combines local mean LBF model information while introducing a global image of the local variance and variance information.Experimental results show that this method can provide accurate smooth closed boundary,and that precision can reach sub-pixel level,and that the recognition accuracy rate is high.

参考文献/References:

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[6]Li C,Kao C,Gore J,et al.Implicit active contours driven by local binary fitting energy[C]//IEEE Conference on Computer Vision and Pattern Recognition(CVPR),Minneapolis:IEEE,2007:1-7.
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备注/Memo

备注/Memo:
收稿日期:2013-12-11.
基金项目:江苏省“青蓝工程”、江苏省“六大人才高峰”、江苏省“333工程”、江苏省介入医疗器械研究重点实验室开放基金(JR1405)、江苏省属高校自然科学研究重大项目(11KJA460001).
通讯联系人:王洪亚,助理实验师,研究方向:图像处理和模式识别.350572992@qq.com
更新日期/Last Update: 2014-09-30