首页 | 本学科首页   官方微博 | 高级检索  
     

基于形态分解运算的地形图要素自动提取与识别
引用本文:郑华利,周献中,王宏波.基于形态分解运算的地形图要素自动提取与识别[J].小型微型计算机系统,2004,25(6):1072-1075.
作者姓名:郑华利  周献中  王宏波
作者单位:1. 南京理工大学,自动化系,江苏,南京,210094
2. 南京理工大学,电子工程系,江苏,南京,210094
基金项目:总装备部“十五”项目基金 ( 10 40 5 0 2 0 2 )资助
摘    要:针对地形图识别中的要素自动分割问题,提出了基于形态分解运算的提取算法.本算法根据形态特征的不同将地图要素进行结构分解,然后运用腐蚀、膨胀、改进的RLS变换等算子对相同特征的结构进行分类综合,最后依据要素特征组合的整体分析实现了地图上各要素的提取.同以往的算法相比,本算法运算简单,且能更好的解决地图要素的重叠及粘连问题.此算法已编程实现,实验证明效果比较理想。

关 键 词:地形图  形态分解  特征提取  识别算法
文章编号:1000-1220(2004)06-1072-04

Automatic Extraction and Recognition of Elements in Topographic Maps Based on Morphological Decomposition
ZHENG Hua-li,ZHOU Xian-zhong,WANG Hong-bo.Automatic Extraction and Recognition of Elements in Topographic Maps Based on Morphological Decomposition[J].Mini-micro Systems,2004,25(6):1072-1075.
Authors:ZHENG Hua-li  ZHOU Xian-zhong  WANG Hong-bo
Affiliation:ZHENG Hua-li,ZHOU Xian-zhong,WANG Hong-bo 1
Abstract:Aimed at the automatic segmentation of elements in topographic maps, a new effective algorithm based on morphological decomposition is presented. According to different morphological feature, the structure of map elements is decomposed, and then elements of the same character are extracted and combined based on the algorithm of erosion, dilation, improved run-length smearing. As a result, the elements are extracted correctly with the global character analysis and the problem of overlap and adherent among element is resolved efficiently. The algorithm has been implemented on computer and has a good result.
Keywords:topographic map  morphological decomposition  feature extraction  recognition algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号