摘要
数学形态学用具有一定形态的结构元素去度量和提取图像中的对应形态以达到对图像分析和识别的目的。其中细化是处理线状二值图像的一种重要技术,它可以把二值图像区域缩成线条,以逼近区域的中心线,极大地减少图像中的冗余信息量,以便进一步分析和识别。本文研究了通过击中变换实现的骨架线提取算法,并将其应用于城市居民地的街网数据提取,取得了较好的实验效果。
The mathematical morphology is the method using a certain structure element to measure and extract the corresponding morphs in images to analyze and recognize the images. The thinning operation focuses on processing lines, through shrinking an area to a line to extract its midline, the redundancy in binary images could be decreased by it, and it helps to further analysis and recognition. This paper researches the skelecton extraction algorithm through the hit-miss transform, and applies it to the urban road network extraction; the experiment in this paper proves a good result of it.
出处
《北京测绘》
2007年第3期5-8,共4页
Beijing Surveying and Mapping
关键词
数学形态学
细化
骨架线提取
Mathematical Morphology
Thinning Operation
Skeleton Extraction
