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针对传统的颜色直方图法只表示颜色的组成 ,没有包含颜色空间分布信息 ,提出 1种基于块划分颜色特征的图像检索方法。该方法将图像划分成大小相等的子块 ,提取每一块的颜色信息作为特征矢量。通过特征聚类和编码 ,图像内容可以表示成为包含空间分布信息的局部颜色特征组合。实验结果证明了该方法的有效性 ,并与其它方法进行了性能比较。
Abstract：The traditional color histogram contains the component of color but lacks spatial information. To improve the performance of content-based image retrieval, spatial information is indispensable. An approach to partition-based color image retrieval is proposed in this paper. The images in the training set are partitioned into size fixed cells and, from each cell, the local color histogram as a color invariant feature is extracted. By clustering and coding, the images in the database can be regarded as a combination of local color features in certain spatial distribution. The effectiveness of this approach is comfirmed by the experimental results.
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基本信息:
DOI：10.16441/j.cnki.hdxb.2005.02.032
中图分类号:TP391.3
引用信息:
[1]刘金梅,王国宇.一种基于块划分颜色特征的图像检索方法[J].中国海洋大学学报(自然科学版),2005(02):330-334.DOI:10.16441/j.cnki.hdxb.2005.02.032.
基金信息:
山东省中青年奖励基金 (基于形状的图像检索研究 )资助
2005-03-30
2005-03-30