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综合分块颜色和基元共生矩阵的图像检索方法

孙滨 扬扬

计算机与数字工程2011,Vol.39Issue(12):119-123,5.
计算机与数字工程2011,Vol.39Issue(12):119-123,5.

综合分块颜色和基元共生矩阵的图像检索方法

Color Image Retrieval Based on the Combination of Block-color and Texture Features

孙滨 1扬扬1

作者信息

  • 1. 郑州华信学院信息工程系 郑州 451100
  • 折叠

摘要

Abstract

A new method for color image retrieval based on blocked color histogram and texture feature is presented in this paper. Firstly, the image is divided into two sub-blocks according to the differences between the object and background, and quantize and extract color features of each sub-block, compute the distance. Then the texture feature is proposed based on gray level co-occurrence matrix. Finally two features are combined to obtain the retrieval results. The results show that the proposed image retrieval performance is better than that of the traditional approaches.

关键词

基于内容的图像检索/分块直方图/纹理特征/颜色特征

Key words

content-based image retrieval/block-histogram/color feature/texture feature

分类

信息技术与安全科学

引用本文复制引用

孙滨,扬扬..综合分块颜色和基元共生矩阵的图像检索方法[J].计算机与数字工程,2011,39(12):119-123,5.

基金项目

河南省科技攻关计划基金项目(编号:08210221007、102300410198)资助. (编号:08210221007、102300410198)

计算机与数字工程

OACSTPCD

1672-9722

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