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基于区域相似性模型的图像检索研究 被引量：4

RSP-based image retrieval
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摘要 提出一种新的用于计算图像相似性的模型,该模型利用图像区域的相似性表示图像的相似性,针对不同的区域提取不同的特征或特种组合计算图像的相似性,利用遗传算法进行优化,利用实验进行验证及评价,表明方法能够获得更好的检索精度。 A new method is proposed for computing image similarity.Different from the conventional methods,similarity of a pair of images is computed by similarities of the corresponding image regions.The similarity of each region is computed using different features or combinations of features,and genetic algorithm is used for optimizing this pattern.Finally,the experiment is carried on two data sets.The result shows this method can achieve more effective retrieval precision.
作者 接标 汪金宝 凌宗虎 左开中
机构地区 安徽师范大学数学计算机科学学院
出处 《计算机工程与应用》 CSCD 北大核心 2011年第15期213-215,218,共4页 Computer Engineering and Applications
基金 安徽省自然科学基金No.070412043 安徽师范大学青年科学基金项目(No.2007xqn56) 安徽省优秀青年科技基金项目(No.08040106806)~~
关键词 图像检索 区域相似性模型 图像特征 图像相似性 遗传算法 image retrieval Region Similarity Patterns（RSP） image features image similarity genetic algorithm
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献14

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共引文献2

同被引文献35

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引证文献4

二级引证文献4

计算机工程与应用
2011年 第15期

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