关键点检测的线要素综合算法

Algorithm of line generalization with key point detection

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.