摘要
提出了基于近似最小距离场提取二值图像的8-连通骨架的算法。该算法对图像中的每个像素根据其与边界的相对距离进行整数编码,形成近似最小距离场,将该距离场中的几何邻接的、具有局部最大值的像素形成聚类,对聚类进行细化,用最短路径将不同的细化后的聚类连接起来。该算法简单,将其在实验数据集上进行实验,结果证明算法具有很高的效率。
This paper proposes an algorithm for extracting 8-connected skeletons of 2D binary images. Each interior pixel in the 2D image is encoded with an integer code according to its relative distance from the object border to form an approximate minimum distance field. Cluster is defined as a set of geometrically connected local maximum pixels with the same distance value. And all the clusters are thinned, and connected with the shortest paths. The proposed algorithm is simple, and the results acquired by the algorithm on an experimental data demonstrate its efficiency.
出处
《计算机工程与应用》
CSCD
2013年第21期164-167,共4页
Computer Engineering and Applications
基金
国家自然科学基金(No.30371626)
关键词
近似最小距离场
2D二值图像
像素编码
聚类
最短路径
approximate minimum distance field
2D binary image
pixel encoding
cluster
shortest path
