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
收藏
页码：226 / 237
页数：12
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