Robust histogram-based image retrieval

被引：15
|
作者：
Hoeschl, Cyril [1 ]
Flusser, Jan [1 ]
机构：
[1] Acad Sci Czech Republ, Inst Informat Theory & Automat, CR-18208 Prague 8, Czech Republic
来源：
PATTERN RECOGNITION LETTERS | 2016年 / 69卷
关键词：
Image retrieval; Noisy image; Histogram; Cormdurion; Moments; Invariants;
D O I：
10.1016/j.patrec.2015.10.012
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present a histogram-based image retrieval method which is designed specifically for noisy query images. The images are retrieved according to histogram similarity. To reach high robustness to noise, the histograms are described by newly proposed features which are insensitive to a Gaussian additive noise in the original images. The advantage of the new method is proved theoretically and demonstrated experimentally on real data. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码：72 / 81
页数：10
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