Robust color image retrieval using visual interest point feature of significant bit-planes

被引:14
|
作者
Wang, Xiang-Yang [1 ]
Yang, Hong-Ying [1 ]
Li, Yong-Wei [1 ]
Yang, Fang-Yu [1 ]
机构
[1] School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China
来源
Digital Signal Processing: A Review Journal | 2013年 / 23卷 / 04期
基金
中国国家自然科学基金;
关键词
Color - Graphic methods - Color image processing;
D O I
10.1016/j.dsp.2013.01.013
中图分类号
O43 [光学]; T [工业技术];
学科分类号
070207 ; 08 ; 0803 ;
摘要
In this paper, we propose a robust color image retrieval method using visual interest point feature of significant bit-planes. We firstly extract the visually significant bit-plane image from the original color image according to the bit-plane theory and noise attack characteristic. And then, we extract the visual interest points from the original color image by using the significant bit-plane image and multi-scale Harris-Laplace detector, and construct the fuzzy color histogram of visual interest points. We finally compute the similarity between color images by using the fuzzy color histogram of visual interest points. Experiments on large databases show that the proposed algorithm is significantly more effective than the state-of-the-art approaches. Especially, it can retrieve the noise-attacked (including blurring, sharpening, and illumination, etc.) image effectively. © 2013 Elsevier Inc. All rights reserved.
引用
收藏
页码:1136 / 1153
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