| 一种基于区域综合特征的图像检索方法 |
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| 引用本文： | 党长青,姜方正,牛分中.一种基于区域综合特征的图像检索方法[J].计算机工程与应用,2008,44(4):53-55. |
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| 作者姓名： | 党长青 姜方正 牛分中 |
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| 作者单位： | 唐山学院 信息工程二系，河北 唐山 063020 |
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| 摘 要： | 提出一种基于目标区域的图像检索方法，首先采用颜色聚类的分割方法将图像分割成不同的区域，提取每个区域的颜色、位置、形状等低层特征，然后提出一种相似度计算方法实现图像的相似性度量。为了提高图像检索的准确度，最后采用支持向量机（SVM）的相关反馈算法。实验结果表明，基于目标区域的图像检索效果比基于全局图像特征的检索效果有较好的改善。
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| 关 键 词： | 图像检索 图像分割 相关反馈 支持向量机 |
| 文章编号： | 1002-8331（2008）04-0053-03 |
| 收稿时间： | 2007-05-24 |
| 修稿时间： | 2007-07-30 |
Region based image retrieval using multi-feature integration |
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| DANG Chang-qing,JIANG Fang-zheng,NIU Feng-zhong.Region based image retrieval using multi-feature integration[J].Computer Engineering and Applications,2008,44(4):53-55. |
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| Authors: | DANG Chang-qing JIANG Fang-zheng NIU Feng-zhong |
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| Affiliation: | Department two of Information Engineering，Tangshan College，Tangshan，Hebei 063020，China |
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| Abstract: | A new image retrieval method based on region is proposed in this paper.First,a method of color clustering is employed to divide images into regions and low-level feature for the color,position,shape of each region are subsequently extracted.Then this paper implements similarity measurement of two images by taking into consideration the similarity of every region synthetically.In order to improve the precision of image retrieval,a relevance feedback mechanism,based on support vector machines is invoked.The experiment results show that the color image retrieval based on object regions is superior to that based on global image features. |
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| Keywords: | image retrieval image segmentation relevance feedback support vector machines |
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