基于增强纹理谱描述符的图像检索  

Image Retrieval Based on Improved Texture Spectrum Descriptor

作　　者：毋小省[1] 孙君顶[1] 

机构地区：[1]河南理工大学计算机科学与技术学院,河南焦作454003

出　　处：《计算机系统应用》2010年第7期221-223,共3页Computer Systems & Applications

基　　金：河南省国际合作项目(084300510065);河南省控制工程重点学科开放实验室开放课题基金(KG2009-14);河南省教育厅自然科学基础究基金(2008B520015;2009B520013);河南理工大学博士基金(B050901);河南理工大学骨干教师基金

摘　　要：提出了一种从图像低频信息提取纹理特征的方法。首先根据图像局部区域灰度均值与全局灰度均值间的关系,获取反映图像低频信息的二值图像;然后基于该二值图像,采用类似灰度共生矩阵的方法描述其纹理特征。实验结果表明,采用文中方法结合传统纹理谱描述符可有效提高图像检索的效率。A new texture description method of an image is proposed in the paper. Firstly, a binary image which reflects the image＇s low frequency is defined by comparing the image＇s gray mean with the region＇s. Then, the statistic features are extracted based on the co-occurence matrix of the binary image. Finally, the new texture feature and the traditional texture spectrum are used as an index. The experimental results show that the new method is efficient and it provides noticeable improvement to the performance of texture spectrum descriptors.

关 键 词：纹理谱 局部二值模式 中心对称局部二值模式 共生矩阵 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]