| 基于PCNN的二值文字空洞滤波 |
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| 引用本文： | 顾晓东,郭仕德,余道衡.基于PCNN的二值文字空洞滤波[J].计算机应用研究,2003,20(12):65-66. |
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| 作者姓名： | 顾晓东 郭仕德 余道衡 |
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| 作者单位： | 1. 北京大学,电子学系,视觉与听觉信息处理国家重点实验室,北京,100871
2. 北京大学,遥感与地理信息系统研究所,北京,100871 |
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| 基金项目： | 国家"863"计划基金资助项目(2002AA783060) |
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| 摘 要： | 提出了如何用一种有生物视觉依据的人工神经网络——脉冲耦合神经网络(Pulse Coupled Nureal Network,PCNN)进行二值文字空洞滤波,即将二值文字中的空洞填满,从而便于后续的文字识别。计算机仿真结果表明,利用PCNN的脉冲传播特性,可快速而有效地将二值文字中的空洞填满,故基于PCNN的空洞滤波是一种有效的空洞滤波新方法。
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| 关 键 词： | 脉冲耦合神经网络 图像处理 空洞滤波 |
| 文章编号： | 1001-3695(2003)12-0065-02 |
| 修稿时间： | 2002年12月11 |
Binary Character Hole-Filter Based on PCNN |
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| GU Xiao-dong,GUO Shi-de,YU Dao-heng Peking University,Beijing ,China.Binary Character Hole-Filter Based on PCNN[J].Application Research of Computers,2003,20(12):65-66. |
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| Authors: | GU Xiao-dong GUO Shi-de YU Dao-heng Peking University Beijing China |
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| Affiliation: | GU Xiao-dong~1,GUO Shi-de~2,YU Dao-heng~1 Peking University,Beijing 100871,China,2.Institute of Remote Sensing & GIS,Peking University,Beijing 100871,China) |
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| Abstract: | This paper brings forward how to do binary character hole-filter, namely fill holes of binary characters by using PCNN(Pulse Coupled Neural Network), which has the biologically visual background,so that the next character recognition can be realized.The results of computer simulations show that by using PCNN,holes of binary characters can be filled efficiently and quickly.Therefore,Hole-filter based on PCNN is a new efficient approach for binary character hole-filter. |
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| Keywords: | PCNN(Pulse Coupled Neural Network) Image Processing Hole-Filter |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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