An Improved Image Retrieval Method Based on SIFT Algorithm and Saliency Map

摘要：

　　Image retrieval methods based on the Scale Invariant Feature Transform(SIFT)algorithm have good performance except for the characteristics of time-consuming and high dimension feature vectors.This paper realizes an improved image retrieval method combining saliency maps with SIFT.The saliency map algorithm is used to define and detect the visually salient image regions which will be used in feature extraction and feature matching.The experimental results show that the improved method can not only reduce the retrieval time,but also rule out the interference in image matching caused by the feature points in background.

关键词： SIFT Saliency Map Image Retrieval

作者: Jing Liu Fang Meng Fangcheng Mu Yichun Zhang

作者单位: Information Engineering School Communication University of China Beijing, China China Art Science and Technology Institute Beijing, China

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 776-780

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）