TEXTURE IMAGE RETRIEVAL USING NONSUBSAMPLED CONTOURLET TRANSFORM

摘要：

Texture retrieval is a significant branch of content based image retrieval (CBIR).In this paper, the nonsubsampled contourlet transform has been used for texture image retrieval.This transform is built upon nonsubsampled pyramid and nonsubsampled directional filter banks and provides a shift-invariant, directional, multi-resolution image representation. The statistical characteristics of these directional subbands coefficients have been used as the feature vector for texture image classification.The performance of the proposed method is compared to other texture image retrieval methods such as Gabor filter, Contourlet and Complex Directional Filter Bank (CDFB) and the experimental results show that our proposed method improves retrieval rate and outperforms other approaches in this concept.

关键词： Texture Image Retrieval Nonsubsampled Contourlet Transform

作者: MOHAMMAD BABAEIZADEH SHIRIN SALEHI HADI JAFARI EMAMZADE

作者单位: Department of Computer Engineering Sharif University of Technology Tehran,Iran Department of Electrical Engineering Najafabad Branch,Islamic Azad University Najafabad,Isfahan,Iran

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: 717-721

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）