A Novel and Fast Method for Content-Based Image Retrieval via Stack-Triangles Geometries Histogram
In this paper, a novel method is proposed for solving an open problem of shape matching in content-based image retrieval.Our method regards the stacktriangles geometries histogram to be the feature of an image, the correlation of two images was decided by the compare result of their stack-triangles geometries histograms.First of all, these methods extract the key contour fragments of an image, so that a shape can be presented as many key contour fragments in this way.In addition, we derivation stack triangles of a shape by the key contour fragments we get it before.Then, we can get the stack-triangles geometries histogram of the image and calculate the correlation of two images use their stack-triangles geometries histogram.Finally, experiment results show that our new method is a very fast method and can get more robustness than existing methods and achieve a good effect in the standard shape databases MPEG-7.
Image Retrieval Content-Based Contour Fragments Stack-Triangles, Geometries Histogram
Yufeng Chen Chuanqi Tan Fengxia Li Qingyi Zhang
Beijing Key Laboratory of Digital Performance and Simulation Technology Beijing Institute of Technology,Beijing 100081,China
国际会议
厦门
英文
785-789
2011-07-08（万方平台首次上网日期，不代表论文的发表时间）