Image retrieval using mixture models and EM algorithm

被引：0
|
作者：
Najjar, M [1 ]
Ambroise, C [1 ]
Cocquerez, JP [1 ]
机构：
[1] Univ Technol Compiegne, CNRS, Heudiasyc UMR 6599, F-60205 Compiegne, France
来源：
IMAGE ANALYSIS, PROCEEDINGS | 2003年 / 2749卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents an original system for interactive content-based image retrieval (CBIR). A novel approach for searching by similarity is introduced. It is based on a classification of the index database using mixture models and the EM algorithm. The presented retrieval system is evaluated and validated using a medical image database and the Washington University heterogeneous database (ANN).
引用
收藏
页码：1114 / 1121
页数：8
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