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基于像元角点搜索的栅格矢量化
引用本文:张鹏林,庞宇,吕志勇.基于像元角点搜索的栅格矢量化[J].应用科学学报,2014,32(6):611-616.
作者姓名:张鹏林  庞宇  吕志勇
作者单位:1. 武汉大学遥感信息工程学院,武汉430079 2. 西安理工大学计算机科学与工程学院,西安710048
基金项目:国家自然科学基金(No.41331175, No.61202172)资助
摘    要:遥感影像图斑转化为面状矢量具有重要意义,而现有矢量化算法在“孔洞”处理方面存在不足. 为此,提
出了基于像元角点搜索的栅格矢量化算法,首先利用像元的角点建立轮廓点集合,然后由连接轮廓点的弧段集合
中的非共享弧段形成有效弧段集,最后通过搜索有效弧段集形成闭合边界. 实验表明,该方法可以有效解决带有孔
洞多边形的快速矢量化问题.

关 键 词:矢量化  角点  边界搜索  区域分割  
收稿时间:2014-07-12
修稿时间:2014-09-23

Vectorization Based on Pixel Corner Searching
ZHANG Peng-lin,PANG Yu,Lü Zhi-yong.Vectorization Based on Pixel Corner Searching[J].Journal of Applied Sciences,2014,32(6):611-616.
Authors:ZHANG Peng-lin  PANG Yu  Lü Zhi-yong
Institution:1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China; 2. School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, China
Abstract:Vectorization is an important technique in remote sensing image processing. The existing vectoriztion
algorithms are mostly insufficient on vectorization of holes. This paper proposes an algorithm based
on corner pixels. A set of pixels consisting of corners is first established, and another set (valid arc set) with
arcs connecting contour points also established for contour search. A closed contour of an object is defined by
searching valid arc sets according to certain rules. Experimental results show validity of the proposed algorithm
in solving the problem of holes.
Keywords:vectorization  corner  border search  region segmentation  
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