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。
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.
出处
《辽宁石油化工大学学报》
CAS
2010年第3期72-74,共3页
Journal of Liaoning Petrochemical University
关键词
显著点
图像检索
信息熵
Salient point
Image retrieval
Information entropy
