徐朝辉, 樊银亭, 闫奎名, 滕东兴, 杨海燕. 一种基于加权颜色聚合向量的图像检索方法[J]. 微电子学与计算机, 2014, 31(2): 31-34,38.
引用本文: 徐朝辉, 樊银亭, 闫奎名, 滕东兴, 杨海燕. 一种基于加权颜色聚合向量的图像检索方法[J]. 微电子学与计算机, 2014, 31(2): 31-34,38.
XU Chao-hui, FAN Yin-ting, YAN Kui-ming, TENG Dong-xing, YANG Hai-yan. A Method of Image Retrieval Based on Weighted Color Coherence Vector[J]. Microelectronics & Computer, 2014, 31(2): 31-34,38.
Citation: XU Chao-hui, FAN Yin-ting, YAN Kui-ming, TENG Dong-xing, YANG Hai-yan. A Method of Image Retrieval Based on Weighted Color Coherence Vector[J]. Microelectronics & Computer, 2014, 31(2): 31-34,38.

一种基于加权颜色聚合向量的图像检索方法

A Method of Image Retrieval Based on Weighted Color Coherence Vector

  • 摘要: 以图像颜色聚合向量为基础,并结合图像显著特征,提出了一种基于加权颜色聚合向量的图像检索方法.首先,提取图像的显著性图,并进行归一化处理,得到加权矩阵;然后,对图像进行颜色聚合向量提取,并根据加权矩阵进行加权处理;最后通过计算两幅图像之间的加权颜色聚合向量相似度,进行图像检索.该方法既系统兼顾了图像的颜色分布特征和高层视觉特征,又具有较高的计算速度;实验结果证明,该算法的检索精度明显高于传统的基于颜色统计特征的检索精度.

     

    Abstract: By taking visual saliency into consideration,a new image retrieval method based on color coherence vector is proposed in the paper.According to the saliency map of the image,every pixel is assigned a weighting value.Thus,the color coherence vector is calculated on those weighted pixels.This new vector reflects both the low-level color region distribution feature of the image,and its high-level vision characteristics.The experiments verify this method above is more efficiently than traditional ways based on color histogram.

     

/

返回文章
返回