Parallel Euclidean distance transformations in Z(g)(n)

被引：8

作者：

Eggers, H

机构：

[1] Department of Applied Mathematics, University of Hamburg, D-20146 Hamburg

来源：

PATTERN RECOGNITION LETTERS | 1996年 / 17卷 / 07期

关键词：

parallel Euclidean distance transformation; arbitrary dimensions;

D O I：

10.1016/0167-8655(96)00017-7

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this letter, it is proven that the parallel distance transformations of Yamada and Huang-Mitchell are Euclidean distance transformations for pictures in Z(n) and in weighted grids Z(g)(n). This result also holds for the sequential-ordered propagation method of Ragnemalm.

引用

页码：751 / 757

页数：7

共 7 条

[1] DISTANCE TRANSFORMATIONS IN DIGITAL IMAGES [J].