基于颜色和纹理特征的彩色图像检索  

Image retrieval based on color and texture features

作　　者：孙君顶[1] 郭启强[1] 周雪梅[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454000

出　　处：《计算机工程与应用》2010年第29期176-178,共3页Computer Engineering and Applications

基　　金：河南省教育厅自然科学基础研究基金(No.2008B520012;No.2008B520015;No.2009B520013);河南省国际合作课题(No.084300510065);河南理工大学博士基金(No.B050901);河南理工大学骨干教师基金

摘　　要：提出了一种基于颜色和纹理特征的图像检索方法。在对HSV颜色模型量化处理的基础上,提取颜色直方图作为图像的颜色特征。在提取纹理特征时,结合颜色量化结果,设计了反映图像纹理变化的状态转移概率矩阵,在此基础上,提出采用颜色相关熵来描述图像的纹理特征。由于综合利用了图像的颜色及纹理特征,实验结果表明,该方法取得了较好的检索效果。A novel image retrieval method based on color and texture feature is proposed.Based on the quantization of the color in HSV model, color histogram is introduced as the color feature.Then,the quantization results are classified into different status and the transition probability matrix is presented to describe the texture feature.After that,color relative entropy is given as a texture descriptor based on entropy theory and the state relative histogram.Finally the color histogram and color relative entropy are combined together as an index for image retrieval.Experimental results show that the new method is efficient and it provides noticeable improvement to the performance of image retrieval.

关 键 词：图像检索 颜色特征 纹理特征 转移概率矩阵 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]