Comparison of Two Texture Retrieval Algorithms

摘要：

　　Contourlet transform and wavelet have been widely used in image processing systems including texture image retrieval applications,and many literatures have reported how to construct the retrieval systems.Among them,generalize Gaussian distribution (GGD) model is a promising one.We will compare the algorithm with another one,which uses energy and standard deviation features and Canberra distance.Experimental results on 40 texture images from MIT vision database show that the latter one has higher retrieval rates for wavelet and contourlet transform retrieval systems,which indicate that the GGD model is not accurate for charactering texture (aturc).

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

作者: Xin-Wu Chen Yi-Xian Shen Shi-Xin Ma

作者单位: College of Physics and Electronics Engineering,Xinyang Normal University,China Xinyang Energy Company,China

会议类型: 国际会议

会议名称: 2012 International Applied Mechanics,Mechatronics Automation Symposium(2012应用力学,机电一体化自动化国际研讨会)(IAMMAS2012)

会议地点: 沈阳

会议语种:英文

页码: 1962-1966

在线出版日期: 2012-09-07（万方平台首次上网日期，不代表论文的发表时间）