Non-Subsampled Contourlet Texture Image Retrieval System Utilizing Three Features

摘要：

Contourlet transform has better performance in directional information representation than wavelet transform and has been studied by many researchers in retrieval systems and has been shown that it is superior to wavelet ones at retrieval rate. In order to improve the retrieval rate further, a nonsubsampled contourlet transform based texture image retrieval system was proposed in this paper. In the system, sub-band absolute mean energy, standard deviations and kurtosis in non-subsampled contourlet domain were cascaded to form feature vectors, and the similarity metric was Canberra distance. Experimental results show that this contourlet transform based image retrieval system is superior to that of the contourlet transform with absolute mean sub-bands energy and standard deviations features widely used today under the same system structure, the retrieval rate can be improved about 6 to 7 percent.

关键词： content based image retrieval non-subsampled contourlet transform texture image retrieval system retrieval rate

作者: Zhan-Qing MA Xin-Wu CHEN

作者单位: College of Physics & Electronic Engineering,Xinyang Normal University, Xinyang 464000, China

会议类型: 国际会议

会议名称: 2011 International Conference on Information and Computer Networks(ICICN 2011)(2011年信息与计算机网络国际会议)

会议地点: 贵阳

会议语种:英文

页码: 26-29

在线出版日期: 2011-01-26（万方平台首次上网日期，不代表论文的发表时间）