| 基于人工智能方法的图像语义检索 |
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| 引用本文： | 王宇娇.基于人工智能方法的图像语义检索[J].四川理工学院学报(自然科学版),2007,20(3):101-104. |
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| 作者姓名： | 王宇娇 |
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| 作者单位： | 云南昆明师范高等专科学校物理系,昆明,650031 |
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| 摘 要： | 根据语义特征进行图像检索是图像检索技术的发展趋势。文章提出了一种基于人工智能以实现图像语义特征提取的方法,即通过模糊逻辑、遗传算法和人工神经网络三者的融合来解决图像语义特征提取这一难题,该方法使图像检索能够满足用户的需求,提高了图像检索的效率和精度。
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| 关 键 词： | 人工智能 图像语义检索 人工神经网络 遗传算法 模糊逻辑 |
| 文章编号： | 1673-1549（2007）03-0101-04 |
| 收稿时间： | 2006-12-26 |
| 修稿时间： | 2006-12-26 |
Semantic Image Retrieval Based on Artificial Intelligence |
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| WANG Yu-jiao.Semantic Image Retrieval Based on Artificial Intelligence[J].Journal of Sichuan University of Science & Engineering:Natural Science Editton,2007,20(3):101-104. |
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| Authors: | WANG Yu-jiao |
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| Institution: | Physics Department, Kunming Normal College,Kunming 650031, China |
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| Abstract: | To retrieve image in line with semantic feature is the general trend of image retrieval technology. This paper is introduced a new way of semantic feature retrieval based on artificial intelligence .The heart of the feature retrieval can be solved through the integrated use of fuzzy logic,artificial neural network and genetic algorithms. This new way is increased efficiency and precision of image retrieval. |
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| Keywords: | artificial intelligence semantic image retrieval artificial neural network genetic algorithms fuzzy logic |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
