基于显著性加权颜色和纹理的图像检索

J4 ›› 2010, Vol. 45 ›› Issue (7): 81-85.

基于显著性加权颜色和纹理的图像检索

邹国平¹,马儒宁¹,丁军娣²,钟宝江³

1. 南京航空航天大学理学院, 江苏南京 211100; 2. 南京理工大学计算机科学与技术学院, 江苏南京 210094;
3. 苏州大学计算机科学与技术学院, 江苏苏州 215006

收稿日期:2010-04-02 出版日期:2010-07-16 发布日期:2010-09-06
作者简介:邹国平(1985-),男,硕士研究生,主要研究方向为图像检索、目标检测与识别.Email: zgp8584@163.com
基金资助:
国家自然科学基金资助项目(60705014);航空科学基金资助项目(2009ZH52069)

Image retrieval based on saliency weighted color and texture

ZOU Guo-ping1, MA Ru-ning1, DING Jun-di2, ZHONG Bao-jiang3

1. College of Science, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, Jiangsu, China;
2. School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094 Jiangsu, China;
3. School of Computer Science ＆ Technology, Soochow University, Suzhou 215006, Jiangsu, China

Received:2010-04-02 Online:2010-07-16 Published:2010-09-06

摘要/Abstract

摘要：

显著性体现了图像中像素区域引起视觉注意的强弱程度,在图像检索中具有重要意义。本文提出的基于显著性加权的图像检索方法不需要分割出显著性区域,而以显著性加权的方式建立了新的颜色特征和纹理特征,从而增加了显著性区域的颜色与纹理特征的权重。通过对4种主要的显著图的实验比较发现该方法能有效提高检索效果。

关键词: 图像检索;显著性;颜色直方图;LBP直方图

Abstract:

The term `saliency' that indicates the visual importance of pixels in an image has a significant effect in contentbased image retrieval. A new image retrieval method was presented by exploring the saliency-weighted image features of color and texture,which did not require to segment those salient regions from images, but only to weigh the original features of color and texture by saliency of pixels. In such a way, the color and texture features of salient regions were naturally enhanced. Four popular saliency maps on images were mainly tested and the experimental results showed the effectiveness of our method with higher retrieval accuracy.

Key words: image retrieval; saliency weighted; color histogram; local binary pattern histogram

邹国平1,马儒宁1,丁军娣2,钟宝江3. 基于显著性加权颜色和纹理的图像检索[J]. J4, 2010, 45(7): 81-85.

ZOU Guo-ping1, MA Ru-ning1, DING Jun-di2, ZHONG Bao-jiang3. Image retrieval based on saliency weighted color and texture[J]. J4, 2010, 45(7): 81-85.

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