| 基于粒子群的图像检索相关反馈算法 |
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| 引用本文： | 许相莉,张利彪,刘向东,于哲舟,周春光.基于粒子群的图像检索相关反馈算法[J].电子学报,2010,38(8):1935-1940. |
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| 作者姓名： | 许相莉 张利彪 刘向东 于哲舟 周春光 |
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| 作者单位： | 吉林大学计算机科学与技术学院,吉林长春 130012 |
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| 基金项目： | 国家自然科学基金，国家863高技术研究发展计划，吉林省生物识别新技术重点实验室，吉林大学"211工程"三期建设项目，教育部"符号计算与知识工程"重点实验室，吉林省科技发展计划 |
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| 摘 要： | 将粒子群优化算法的进化搜索过程与用户的反馈过程有效结合,提出了一种基于粒子群的图像检索相关反馈算法,避免了初始检索对用户认知的影响以及对反馈效果造成的局限性,并使得用户对检索目标的理解逐渐清晰,能够有效全面的搜索图片库,同时避免多次反馈造成的算法效率和检索效果之间的矛盾.通过实验验证了算法的有效性.
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| 关 键 词： | 相关反馈 粒子群优化 图像检索 |
| 收稿时间： | 2009-07-09 |
Image Retrieval Relevance Feedback Algorithm Based on Particle Swarm Optimization |
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| XU Xiang-li,ZHANG Li-biao,LIU Xiang-dong,YU Zhe-zhou,ZHOU Chun-guang.Image Retrieval Relevance Feedback Algorithm Based on Particle Swarm Optimization[J].Acta Electronica Sinica,2010,38(8):1935-1940. |
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| Authors: | XU Xiang-li ZHANG Li-biao LIU Xiang-dong YU Zhe-zhou ZHOU Chun-guang |
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| Affiliation: | College of Computer Science and Technology,Jilin University,Changchun,Jilin 130012,China |
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| Abstract: | The evolution searching process of particle swarm optimization(PSO) algorithm and user feedback process are combined effectively,and an image retrieval relevance feedback(RF) algorithm based on PSO is proposed,in which the influence to user perception and limitation to feedback effect caused by initial retrieval are avoided.The algorithm makes users'understanding to the retrieval goal become clear gradually,could search image database effectively and comprehensively,and at the same time it could avoid the contradiction of efficiency and retrieval effect caused by multi-feedback.Experiments have verified the validity of the proposed algorithm. |
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| Keywords: | relevance feedback(RF) particle swarm optimization(PSO) image retrieval |
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