Fuzzy content-based retrieval in image databases

被引：0

作者：

Gokcen, I ^{[1
]}

Yazici, A ^{[1
]}

Buckles, BP ^{[1
]}

机构：

[1] Tulane Univ, Dept EECS, New Orleans, LA 70118 USA

来源：

ADVANCES IN INFORMATION SYSTEMS, PROCEEDINGS | 2000年 / 1909卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Image data is a very commonly used multimedia data type and usually have visual characteristics that have imprecise descriptions. Fuzzy retrieval of images that are stored in an image database is a natural and effective way to access image data. Recently, some work has been done on fuzzy content-based retrieval systems but to the authors knowledge none of them rely on a defined model for fuzzy query processing part, In this paper, an approach for fuzzy content-based retrieval using the Fuzzy Object-Oriented Data (FOOD) model will be described. A novel way of determining the fuzzy values from extracted color features will also be presented.

引用

页码：226 / 237

页数：12

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