节点文献
基于颜色复杂度的加权颜色直方图图像检索算法
Weighted Histogram Color Image Retrieval Based on Color Complexity Measure
【摘要】 为了进一步提高基于颜色直方图的图像检索系统工作效率,以人眼视觉感知特性为基础,结合局部图像相关性,提出一种基于颜色复杂度的加权颜色直方图图像检索新方法.该方法计算反映局部区域变化的像素点颜色复杂度,利用颜色复杂度对每个像素点进行加权处理,构造能有效反映视觉感知特性的加权颜色直方图并进行图像检索.仿真实验结果表明,本文算法能够准确和高效地查找出用户所需内容的彩色图像,并且具有较好的查准率和查全率.
【Abstract】 According to the human visual system(HVS), a weighted histogram color image retrieval based on color complexity measure(CCM) is proposed in this paper. Firstly, the color complexity measure(CCM) of pixels are calculated, which reflecting the image local variation. Secondly, all pixels are weighed by the color complexity measure, and the weighted histogram are cumulated. Finally, the similarity between color images is computed by using the weighted histogram. Experimental experiments, including comparisons with state-of-the-arts, show the effectiveness of our algorithm in improving the retrieval performance.
【Key words】 image retrieval; color histogram; color complexity measure; visual weight;
- 【文献出处】 小型微型计算机系统 ,Journal of Chinese Computer Systems , 编辑部邮箱 ,2009年03期
- 【分类号】TP391.3
- 【被引频次】22
- 【下载频次】478