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基于先验统计知识和文字线的地名提取方法
引用本文:吴铮,刘新贵,宋华标,赵云鹏.基于先验统计知识和文字线的地名提取方法[J].测绘与空间地理信息,2017(2):79-81.
作者姓名:吴铮  刘新贵  宋华标  赵云鹏
作者单位:信息工程大学地理空间信息学院,河南郑州,450001
基金项目:郑州市科技计划资助项目,信息工程大学地理空间信息学院硕士学位论文创新与创优基金资助项目
摘    要:对扫描地图地名注记的自动提取进行了研究,针对复杂背景扫描地图设计了一种新的地名注记提取方法。首先,运用先验统计知识对地名注记所在要素层进行分割;然后,将文字线组合方法与数学形态学膨胀算法结合实现了地名注记的高效提取。通过大量实验表明,该方法有效地克服了复杂背景下地名注记提取的困难,简单、快速且正确率较高。

关 键 词:扫描地图  图像分割  先验统计知识  文字线  地名提取

Toponym Extraction Method Based on a Priori Statistical Knowledge and Character Line
WU Zheng,LIU Xin-gui,SONG Hua-biao,ZHAO Yun-peng.Toponym Extraction Method Based on a Priori Statistical Knowledge and Character Line[J].Geomatics & Spatial Information Technology,2017(2):79-81.
Authors:WU Zheng  LIU Xin-gui  SONG Hua-biao  ZHAO Yun-peng
Abstract:This paper makes a study on the automatic extraction of toponym annotation in the foreign scanned map.A new method for the extraction of toponym annotation is designed in the light of the scanned map with complex background.First of all,a priori statistical knowledge is used to segment the toponym layer.Then the character line organizational method and mathematical morphological expansion algorithm is combined to achieve the effective extraction of toponym.A large number of experiments show that this method can effectively overcome the difficulty of the extraction of toponym in complex background,which is simple,rapid and has high accuracy.
Keywords:scanned map  image segmentation  prior statistical knowledge  character line  toponym extraction
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