PARAMETRISABLE SKELETONIZATION OF BINARY AND MULTI-LEVEL IMAGES

被引：16

作者：

RIAZANOFF, S

CERVELLE, B

CHOROWICZ, J

机构：

[1] UNIV PARIS 06,MINERAL CRISTALLOG LAB,CNRS,F-75252 PARIS 5,FRANCE

[2] UNIV PARIS 06,GEOL STRUCT LAB,CNRS,F-75252 PARIS 5,FRANCE

来源：

PATTERN RECOGNITION LETTERS | 1990年 / 11卷 / 01期

关键词：

contour processing algorithm; ridges extraction; Skeleton; thinning algorithm;

D O I：

10.1016/0167-8655(90)90052-4

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 paper, a new definition of the skeleton of an object, called the curvature skeleton, is presented. This definition is based on the curvature maxima computed along the object's contours. Some principles of this mathematical model are used to implement a new method of parametrisable skeletonization of binary images. The binary algorithm also fits multi-level (gray scale) image skeletonization. © 1990.

引用

页码：25 / 33

页数：9

共 7 条

[1] A FAST ALGORITHM FOR CELLULAR LOGIC OPERATIONS ON SEQUENTIAL-MACHINES [J].