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基于分块主色调和纹理特征的彩色图像检索
引用本文:张英俊,周海英.基于分块主色调和纹理特征的彩色图像检索[J].电脑开发与应用,2010,23(2):15-16,19.
作者姓名:张英俊  周海英
作者单位:中北大学电子与计算机科学技术学院,太原,030051
摘    要:提出一种基于分块主色调和纹理特征的彩色图像检索方法。该方法首先提取占彩色图像比重较大的前几种主色调,根据主色调将图像划分为不同分块,并以主色调作为各分块图像的颜色特征。然后,采用灰度共生矩阵算法,提取各分块的纹理特征。综合考虑各分块图像的颜色特征和纹理特征,从图像数据库中检索相似图像。实验结果表明,该方法具有较高的检索效率。

关 键 词:图像检索  主色调  灰度共生矩阵  特征提取

Image Retrieval based on Main Color and Texture Feature of Each Block
Zhang Yingjun et al.Image Retrieval based on Main Color and Texture Feature of Each Block[J].Computer Development & Applications,2010,23(2):15-16,19.
Authors:Zhang Yingjun
Abstract:A new image retrieval algorithm based on the main color and texture of image blocks was presented.Firstly,the main kinds of color of each image were extracted as the image's color feature.Then images were partitioned into sub-images.Secondly,the texture of each block was extracted by gray symbiotic matrix algorithm as the image's texture feature.Color feature and texture feature were considered to retrieve similar images.Experiment results show that the new algorithm is more effective in image retrieval.
Keywords:image retrieval  main color  gray symbiotic matrix  feature extraction  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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