摘要： 为提高旋转图像的检索准确率,引入颜色基元共生矩阵,提出一种新的旋转图像检索方法。设计8种具有旋转不变性的基元结构描述符,得到基元过渡矩阵(MEM)和基元平均矩阵(MAM)用于描述图像的纹理和颜色特征,并在MEM和MAM的基础上,运用统计学方法获取基元序列和对应颜色值出现的频数,最终得到8×8×72的颜色基元共生矩阵作为原始图像和旋转图像的特征矩阵。选取Corel标准图像库进行实验,结果表明,与CMM,M&D,SITF,SED,CDH等图像检索方法相比,该方法具有较高的检索准确率。

关键词: 基元, 基元过渡矩阵, 基元平均矩阵, 颜色基元共生矩阵, 旋转不变性

Abstract: In order to increase the retrieval accuracy of the rotated image,this paper proposes a novel rotated image retrieval method by introducing Color Motif Co-occurrence Matrix(CMCM).It designs eight kinds of rotation invariant motifs and gets Motif Excessive Matrix(MEM) and Motif Average Matrix(MAM) to depict the color and texture features of image.Based on MEM and MAM,it uses statistical methods to obtain motif sequence and the occurrence frequency of corresponding color value,and gets an 8×8×72 CMCM as the characteristic matrice of the original image and rotated image.The experiments are carried out on the standard Corel image dataset,and the results show that the proposed method has higher retrieval accuracy compared with CMM,M&D,SITF,SED and CDH method.

Key words: motif, Motif Excessive Matrix(MEM), Motif Average Matrix(MAM), Color Motif Co-occurrence Matrix(CMCM), rotation invariance

中图分类号: 

• TP18