| 利用遗传算法和特征权重调整的图像检索 |
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| 引用本文： | 於时才,张永权.利用遗传算法和特征权重调整的图像检索[J].计算机工程与应用,2010,46(32):168-170. |
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| 作者姓名： | 於时才 张永权 |
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| 作者单位： | 兰州理工大学,计算机与通信学院,兰州,730050 |
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| 摘 要： | 综合多种特征的图像检索可以克服使用单一特征带来的问题，如何组织这些特征使其发挥最佳作用是基于内容图像检索中的一个难点。提出了一种基于遗传算法相关反馈的图像特征权重调整方法，利用遗传算法和特征权重的调整，缩小低层特征和高层语义之间的语义鸿沟，使检索效果在很短的时间内达到最好。实验表明，该方法查全率和查准率较高，对于各种特征的组合，都能达到最佳的检索效果。
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| 关 键 词： | 多特征 图像检索 遗传算法 特征权重调整 |
| 收稿时间： | 2009-3-25 |
| 修稿时间： | 2009-5-21
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Image retrieval of utilizing genetic algorithm and feature weight assignment |
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| YU Shi-cai,ZHANG Yong-quan.Image retrieval of utilizing genetic algorithm and feature weight assignment[J].Computer Engineering and Applications,2010,46(32):168-170. |
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| Authors: | YU Shi-cai ZHANG Yong-quan |
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| Affiliation: | School of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050,China |
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| Abstract: | Integrating multiple features content-based image retrieval can overcome the problems of single feature,but how to organize these features and feature representation methods is difficult in image retrieval.A feature weight assignment approach based on relevance feedback of utilizing genetic algorithm is proposed.By utilizing genetic algorithm and feature weight assignment,the semantic gap between the visual feature and semantic feature is reduced,and the best retrieval results are got in short time.The experimental results show that the recall and precision of this proposed approach are better.This approach can get the best retrieval results for different integrating multiple features. |
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| Keywords: | multiple features image retrieval genetic algorithm feature weight assignment |
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