Content-based image retrieval using salient points

摘要：

Salient point is an important point feature in the content-based image retrieval. A novel image retrieval based on salient point is proposed in this paper. Firstly, an improved algorithm is presented based on SPARSE(Salient Points Auto-Reduction using Segmentation), which using dynamic threshold segmentation algorithm in the between-class variance and within-class variance of the image segmentation. And then three color features and three texture features are adopted by image retrieval. Experimental results show that the improved method has better performance.

关键词： Image Retrieval Salient Points Dynamic threshold segmentation algorithm

作者: Zhao Shan Wang Shui Gao Guo Hong

作者单位: School of computer science and technology,Henan Polytechnic University,Jiao zuo.China School of Information Engineer,Henan Institute of Scienc Technlogy Xin xiang, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 201-204

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）