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一种基于统计分布的图像分割方法
引用本文:罗维佳,谢顺平,都金康.一种基于统计分布的图像分割方法[J].南京气象学院学报,2004,27(1):50-54.
作者姓名:罗维佳  谢顺平  都金康
作者单位:南京大学,城市与资源学系,江苏,南京,210093
基金项目:国家自然科学基金资助项目(40171015)
摘    要:为了使数字高程模型(DEM)图像显示时各种颜色所占面积大体相等,提出了一种图像分割多阈值确定方法。该方法先用较多的组数对数据点按高程分组统计,在此基础上合并数据点较少的相邻组,得到分布较为均匀、组数较少的二次分组,提取二次分组的组限作为阈值。试验和分析证明,用该方法获取的阈值能较好地分割图像,节省时间和空间。

关 键 词:统计  图像分割  阈值  数字高程模型
文章编号:1000-2022(2004)01-0050-05

An Image Segmentation Algorithm Based on Statistic Distribution
LUO Wei-jia,XIE Shun-ping,DU Jin-kang.An Image Segmentation Algorithm Based on Statistic Distribution[J].Journal of Nanjing Institute of Meteorology,2004,27(1):50-54.
Authors:LUO Wei-jia  XIE Shun-ping  DU Jin-kang
Abstract:An image segmentation algorithm is proposed in this paper to display digital elevation model(DEM) image with colors which occupy respectively an approximately equal area in display window.Firstly,the data set is classified into many groups according to elevation values;secondly,the groups adjacent with few data points are combined,when each group has approximately equal number of data points,and their limits are taken as the thresholds.The results of experiment and analysis show that the algorithm is efficient as well as time- and space-saving.
Keywords:image segmentation  thresholding  statistics  digital elevation model  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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