Edge-based structural features for content-based image retrieval

被引：78
|
作者：
Zhou, XS [1 ]
Huang, TS [1 ]
机构：
[1] Univ Illinois, Beckman Inst Adv Sci & Technol, Urbana, IL 61801 USA
来源：
PATTERN RECOGNITION LETTERS | 2001年 / 22卷 / 05期
基金：
美国国家科学基金会;
关键词：
structural feature; water-filling algorithm; content based image retrieval; relevance feedback;
D O I：
10.1016/S0167-8655(00)00124-0
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 proposes structural features for content-based image retrieval (CBIR), especially edge/structure features extracted from edge maps. The feature vector is computed through a "water-filling algorithm" applied on the edge map of the original image. The purpose of this algorithm is to efficiently extract information embedded in the edges. The new features are more generally applicable than texture or shape features. Experiments show that the new features can catch salient edge/structure information and improve the retrieval performance. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：457 / 468
页数：12
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