| 一种基于HVS加权颜色特征的图像检索算法 |
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| 引用本文： | 宋琳琳,王相海. 一种基于HVS加权颜色特征的图像检索算法[J]. 微电子学与计算机, 2008, 25(6): 60-62 |
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| 作者姓名： | 宋琳琳 王相海 |
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| 基金项目： | 辽宁省自然科学基金 , 辽宁省教育厅资助项目 , 南京邮电学院校科研和教改项目 |
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| 摘 要： | 提出一种基于人类视觉系统(HVS)的加权颜色特征图像检索算法.首先对图像进行分块,提取各分块的主色作为颜色特征,然后利用人类视觉特性,对所获取的颜色特征进行加权处理,获得加权"主色"颜色特征.实验结果表明,基干所提出的加权"主色"颜色特征的图像检索算法较单纯依靠直方图和分块主色法具有更好的检索精度.
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| 关 键 词： | 分块 主色 加权特征 图像检索 |
| 文章编号： | 1000-7180(2008)06-0060-03 |
| 修稿时间： | 2007-06-21 |
An Image Retrieval Algorithm Based on HVS Weighted Color Features |
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| SONG Lin-lin,WANG Xiang-hai. An Image Retrieval Algorithm Based on HVS Weighted Color Features[J]. Microelectronics & Computer, 2008, 25(6): 60-62 |
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| Authors: | SONG Lin-lin WANG Xiang-hai |
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| Abstract: | This paper introduces an image retrieval algorithm based on Human Visual System weighted color features. Firstly,we split the image into sub-blocks and draw the color feature consists of dominant colors in each sub-block.Then weighting the gained color features by making use of HVS.So we can obtain the weighted dominant color feature.Com- paring with traditional histogram method and split blocks dominant color method,the experiment results show that the proposed algorithm based on weighted dominant color feature has better retrieval precision. |
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| Keywords: | split blocks dominant color weighted feature image retrieval |
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