Image Retrieval Algorithm Based on Color-Spatial Distribution of Salient Points

doi:10.3696/j.issn.1672-6952.2010.03.020

Journal of Liaoning Petrochemical University ›› 2010, Vol. 30 ›› Issue (3): 72-74.DOI: 10.3696/j.issn.1672-6952.2010.03.020

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Image Retrieval Algorithm Based on Color-Spatial Distribution of Salient Points

LI Li－jun

School of Science， Liaoning Shihua University, Fushun Liaoning 113001,P.R.China

Received:2010-03-25 Online:2010-09-25 Published:2017-07-05

基于显著点颜色-空间分布特征的图像检索算法

李丽君

辽宁石油化工大学理学院,辽宁抚顺113001

作者简介:李丽君(1979-),女,辽宁沈阳市,讲师,硕士。

Abstract

Abstract:

An image retrieval algorithm based on color and spatial distribution of salient points was proposed. Firstly, Harris color point detector was used to extract color salient points. Secondly, salient points were regarded as clues, and a circular color histogram based on salient points was designed, which combined local color feature with spatial distribution structure of salient points effectively. Finally, information entropy was used, which considered spatial distribution information and decreased complexity. The experimental results show that this method is easily manipulated, and has better performance than image retrieval based on global characteristics.

Key words: Salient point , Image retrieval , Information entropy

摘要： 提出了一种基于显著点的颜色和空间分布特征的图像检索算法。首先使用Harris颜色点检测器提
取图像的显著点;再以显著点为主线,设计了一种基于显著点的环形颜色直方图方法,将显著点的局部颜色特征与
空间分布结构有效结合;最后利用信息熵表示图像颜色的空间分布信息,既考虑了图像的空间分布特征,又降低了
运算复杂度。实验结果表明,该方法实现简单,在检索精度上明显优于基于全局特征的图像检索算法。

关键词: 显著点 , , 图像检索 , 信息熵

LI Li－jun. Image Retrieval Algorithm Based on Color-Spatial Distribution of Salient Points[J]. Journal of Liaoning Petrochemical University, 2010, 30(3): 72-74.

李丽君. 基于显著点颜色-空间分布特征的图像检索算法[J]. 辽宁石油化工大学学报, 2010, 30(3): 72-74.

Image Retrieval Algorithm Based on Color-Spatial Distribution of Salient Points

基于显著点颜色-空间分布特征的图像检索算法

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