An object-oriented fuzzy data model for similarity detection in image databases

被引：15

作者：

Majumdar, AK ^{[1
]}

Bhattacharya, I

Saha, AK

机构：

[1] Indian Inst Technol, Dept Comp Sci & Engn, Kharagpur 721302, W Bengal, India

[2] Univ Maryland, Dept Comp Sci, College Pk, MD 20742 USA

[3] Rice Univ, Houston, TX 77005 USA

来源：

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING | 2002年 / 14卷 / 05期

关键词：

image databases; fuzzy data model; spatial and topological relations; similarity detection;

D O I：

10.1109/TKDE.2002.1033783

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, we introduce a fuzzy set theoretic approach for dealing with uncertainty in images in the context of spatial and topological relations existing among the objects in the image. We propose an object-oriented graph theoretic model for representing an image and this model allows us to assess the similarity between images using the concept of (fuzzy) graph matching. Sufficient flexibility has been provided in the similarity algorithm so that different features of an image may be independently focused upon.

引用

页码：1186 / 1189

页数：4

共 13 条

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