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Clustering algorithm of image emotional characteristics based on ant colony

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  • Received:2008-09-02 Revised:2008-10-22 Online:2009-04-22 Published:2009-02-01

基于蚁群的图像情感特征聚类算法的研究

李海芳 温侠 门立环   

  1. 太原理工大学计算机与软件学院 太原理工大学迎西校区 计算机与软件学院
  • 通讯作者: 温侠

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Abstract: With the development of image retrieval system, the effective organizing and managing of image database has been a key to users retrieving. This paper firstly made use of colony clustering algorithm in emotional clustering which based on image feature, and the original ant clustering algorithm was improved. This algorithm may identify which is the first ants by calculating the continental distance, simulate ants' actions of pickup or discarding, and according to the feature of domain color, image emotional cluster has been implemented. The result of experiment has indicated that the algorithm can get better clustering effect, and improve the retrieval efficiency.

Key words: domain color, ant colony, cluster, emotion semantic, feature extraction

摘要： 随着图像检索系统的发展,合理地组织和管理图像数据库已经逐渐成为图像检索的关键。首次将蚁群聚类算法应用在基于图像特征的情感聚类分析中,并对原有的蚁群聚类算法进行了改进。该算法通过计算样本间的欧式距离确定起始蚂蚁,模拟蚂蚁对食物的捡起和丢弃行为,根据提取的图像主颜色特征,对图像情感进行聚类。实验表明该算法能够取得较好的聚类效果和较高的检索效率。

关键词: 主颜色, 蚁群, 聚类, 情感语义, 特征提取

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