摘要
介绍了一种基于色彩共生矩阵提取颜色-纹理特征的图像检索方法。在灰度共生矩阵方法的基础上,发展出色彩共生矩阵方法,解决了灰度共生矩阵方法不能有效处理真彩色图像的缺陷,并从色彩共生矩阵中提取颜色和纹理特征用于图像检索。该方法易于实现、特征库简洁高效,且具有较好的检索效果。
In this paper,the methods for CBIR is based on color co-occurrence matrix-a new conception which proposed on the basis of grey level co-occurrence matrix.From the color co-occurrence matrix we can extracte both color and texture features and carry out some combined-features retrieval experiments using real-color image database.The experiments results show that the retrieval results of the methods fits closely with human perception.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第20期40-42,51,共4页
Computer Engineering and Applications
基金
国家高技术研究发展计划(863)(the National High-Tech Research and Development Plan of China under Grant No.2002AA134020-04)
关键词
基于内容的图像检索
颜色
纹理
灰度共生矩阵
色彩共生矩阵
Content Based Image Retrieval（CBIR）
color
texture
grey level co-occurrence matrix
color co-occurrence matrix
