Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (16): 171-173.

• 图形、图像、模式识别 • Previous Articles     Next Articles

Image retrieval based on region and relevance feedback

KUANG Hang1,LUO Jun1,ZHONG Hong2   

  1. 1.Chongqing Education College,Chongqing 400067,China
    2.Information Engineering College,Central South University,Changsha 410075,China
  • Received:2007-08-21 Revised:2007-11-30 Online:2008-06-01 Published:2008-06-01
  • Contact: KUANG Hang

基于目标区域和相关反馈的图像检索

况 夯1,罗 军1,钟 洪2   

  1. 1.重庆教育学院,重庆 400067
    2.中南大学 信息工程学院,长沙 410075
  • 通讯作者: 况 夯

Abstract: A novel image retrieval method based on region and relevance feedback is proposed in this paper.At first,the proposed approach employs a improved K-mean and fully unsupervised segmentation algorithm to divide images into regions,and low-level feature for the color,position,shape of each region are subsequently extracted and applied in similarity measurement.At last a relevance feedback mechanism,based on support vector machines is invoked to improve the retrieval performance.The experiment results show that the method can get better retrieval performance.

Key words: image retrieval, image segmentation, similarity measure, Relevance feedback, support vector machines

摘要: 提出了一种基于目标区域和相关反馈的图像检索方法,首先采用改进的K均值无监督分割方法将图像分割成区域,然后提取每个区域的颜色、位置、形状特征进行相似度计算;最后采用基于支持向量机(SVM)的相关反馈算法提高检索精度。实验结果表明,方法具有良好的检索性能。

关键词: 图像检索, 图像分割, 相似度计算, 相关反馈, 支持向量机