Fuzzy relative position between objects in image processing: A morphological approach

被引：116

作者：

Bloch, I ^{[1
]}

机构：

[1] CNRS, URA 822, Ecole Natl Super Telecommun, Dept TSI, F-75634 Paris 13, France

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1999年 / 21卷 / 07期

关键词：

fuzzy sets; spatial relative position; directional relations; fuzzy mathematical morphology; structural shape recognition;

D O I：

10.1109/34.777378

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to cope with the ambiguity of spatial relative position concepts, we propose a new definition of the relative position between two objects in a fuzzy set framework. This definition is based on a morphological and fuzzy pattern-matching approach, and consists of comparing an object to a fuzzy landscape representing the degree of satisfaction of a directional relationship to a reference object. It has good formal properties, it is flexible, it fits the intuition, and it can be used for structural pattern recognition under imprecision. Moreover, it also applies in 3D and for fuzzy objects issued from images.

引用

页码：657 / 664

页数：8

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