FOUR FEATURES CONTOURLET TEXTURE RETRIEVAL

摘要：

Contourlet transform is a non-tensor product special transform and has better performance in directional information representation than wavelet and superior to wavelet at retrieval application fields.In order to improve the retrieval rate further, we will propose a new contourlet transform based texture image retrieval system in this paper.In the system, standard deviation, energy, skewness and kurtosis of each subband coefficients in contourlet domain are cascaded to form feature vectors, and the similarity metric is Canberra distance.Experimental on a 109 texture image database from MIT results show that this contourlet transform based image retrieval system is superior to that of the contourlet transform with energy and standard deviations features widely used today under the same system structure.

关键词： Content based image retrieval Contourlet transform Texture image Retrieval system Retrieval rate

作者: ZHEN GUO XIN-WU CHEN

作者单位: School of Computer and Information Technology,Xinyang Normal University College of Physics and Electronics Engineering,Xinyang Normal University

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Technology and Development(2011第三届计算机技术与发展国际会议 ICCTD2011)

会议地点: 成都

会议语种:英文

页码: 1074-1078

在线出版日期: 2011-11-25（万方平台首次上网日期，不代表论文的发表时间）