基于全局和局部颜色特征的图像检索方法

Color Image Retrieval Algorithm Based on Global and Local Color Features

提出了一种基于图像全局和局部颜色特征的图像检索方法.首先在符合视觉感知特性的Lab颜色空间中提取全局颜色特征;再对图像进行图像子块划分,同时利用具有人眼视觉特性的高斯加权系数对其进行加权,然后利用二值化得到的颜色位图作为局部颜色特征,并进一步加入了方向性的考虑,对图像子块进行垂直和水平投影,最后合理地融合了全局和局部颜色特征的相似性进行图像检索.对Corel图像数据库的实验结果表明,此算法具有良好的检索效率.

This paper proposes an image retrieval algorithm based on global and local color features.First,global color features are extracted from Lab color space which is consistent with human visual perception,and Gaussian weighting coefficients are applied to the image which is divided into sub-blocks.Then the binary color bitmap is used as local color feature.Furthermore,directions are taken into account and the image is horizontally and vertically projected.At last,similarities of global and local color features are combined reasonably in image retrieval.The results using Corel Image Database show that the proposed algorithm obviously outperforms previous work[1].