Research on Local Self-similarity Descriptors in Images

摘要：

Local self-similarity descriptors use image patch as the basic unit for measuring internal selfsimilarities, which can capture more meaningful image patterns than individual pixel.But computation speed of the current method is slow.In order to improve the current method in extracting local self similarity, we present a new approach.In our approach, we first obtain an image region centered at every pixel.Then every image region is divided into several patches and self similarities are extracted from each patch.At last all of the self-similarities form a vector to describe image region.The results of simulation show feasibility of the approach.

关键词： self-simlarity local computation speed image patch

作者: Lili Guan Jiuhe Wang Hongbo Yang

作者单位: School of Automation Beijing Information Science and Technology University Beijing, China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 690-693

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）