Adaptive lifting for shape-based image retrieval

被引：20
|
作者：
Oonincx, PJ
de Zeeuw, PM
机构：
[1] Royal Netherlands Naval Coll, NL-1780 CA Den Helder, Netherlands
[2] CWI, NL-1090 GB Amsterdam, Netherlands
来源：
PATTERN RECOGNITION | 2003年 / 36卷 / 11期
关键词：
image retrieval; lifting scheme; neville filters; moment invariants; adaptive scheme; feature vectors; affine transformations;
D O I：
10.1016/S0031-3203(03)00167-5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We propose to use adaptive wavelet lifting for image retrieval systems that are based on shape detection and multiresolution structures of objects in a database against a background of texture. To measure the performance of our approach, feature vectors are computed based on moment invariants of detail coefficients produced by the adaptive lifting scheme and retrieval rates are obtained by measuring distances between these vectors. Retrieval rates are compared with the rates obtained when using non-adaptive wavelet filtering as a preprocessing step. A synthetic database is created for this simulation. (C) 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：2663 / 2672
页数：10
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