关键点检测的线要素综合算法  

Algorithm of line generalization with key point detection

作　　者：黄志坚[1,2] 张金芳[2] 徐帆江[2] 

机构地区：[1]国防科技大学电子科学与工程学院空间信息技术研究所,长沙410073 [2]中国科学院软件研究所综合信息系统技术国家级重点实验室,北京100190

出　　处：《中国图象图形学报》2012年第2期241-248,共8页Journal of Image and Graphics

基　　金：中国科学院国防科技创新基金(CXJJ-11-M07)

摘　　要：提出一种基于关键点检测的线要素自动综合算法。利用角点检测器检测出所有角点,并从中筛选出关键点作为必须保留的点,以保证线要素的基本形态得到保持;线要素在关键点处分段后,各段分别采用Li-Openshaw算法进行综合。实验结果表明,该算法较传统算法能够更好地保持线要素的形状特征,且具有更高的位置精度。A new automatic algorithm for line generalization based on key point detection is presented in this paper. An adaptive threshold comer detector is used to detect all corner points,from which key points are selected. To keep the shape characteristic of lines, all key points must be reserved. For the segmented lines at these key points, each sub-line is generalized with the Li-Openshaw algorithm. Compared with conventional algorithms, the results of our experiments show that the shape of lines is better preserved and the positions are more accurate.

关 键 词：线要素综合 角点检测 自适应门限 关键点检测 Li—Openshaw算法 

分 类 号：P283.7[天文地球—地图制图学与地理信息工程]