基于相容粒的彩色图像检索算法

广西师范大学学报（自然科学版） ›› 2011, Vol. 29 ›› Issue (3): 173-178.

基于相容粒的彩色图像检索算法

李双群, 徐久成, 张灵均, 李晓艳

河南师范大学计算机与信息技术学院,河南新乡453007

收稿日期:2011-05-05 出版日期:2011-08-20 发布日期:2018-12-03
通讯作者: 徐久成(1963—),男,河南洛阳人,河南师范大学教授,博士。E-mail:xjc@henannu.edu.cn
基金资助:
国家自然科学基金资助项目(60873104,61040037);河南省教育厅自然科学基金资助项目(2011A520022);河南师范大学青年科学基金资助项目(2010qk20)

Color Image Retrieval Based on Tolerance Granules

LI Shuang-qun, XU Jiu-cheng, ZHANG Ling-jun, LI Xiao-yan

College of Computer and Information Technology,Henan Normal University,Xinxiang Henan 453007,China

Received:2011-05-05 Online:2011-08-20 Published:2018-12-03

摘要/Abstract

摘要： 图像特征的提取与表达是图像检索技术的基础,而图像边缘是重要的视觉感知信息,由此提出一种基于相容粒度空间模型的图像检索方法。首先利用Canny边缘检测算子提取原始图像的彩色边缘信息,然后使用相容粒的合并计算方法对图像边缘颜色进行动态量化,根据得到的信息粒计算图像之间的相似度并进行图像检索。仿真实验表明,本文算法与传统颜色直方图方法相比,具有较好的查准率和查全率。

关键词: 图像检索, 相容粒度空间, 色彩量化, 彩色边缘

Abstract: The extraction and representation of image feature isthe basis of image retrieval technique and color image edge is the important information of human visual perception.Firstly,the color edge of raw image is extracted by using canny detection operator.Secondly,the color of image edge is quantifieddynamically through the merger calculation of tolerant granule.Finally,the similarity between images is calculated with the information granules.Experimental results show that the proposed algorithm has better precision rate and recall ratethan the traditional one.

Key words: image retrieval, tolerance granular space, color quantization, color edge

中图分类号:

TP391.3

李双群, 徐久成, 张灵均, 李晓艳. 基于相容粒的彩色图像检索算法[J]. 广西师范大学学报（自然科学版）, 2011, 29(3): 173-178.

LI Shuang-qun, XU Jiu-cheng, ZHANG Ling-jun, LI Xiao-yan. Color Image Retrieval Based on Tolerance Granules[J]. Journal of Guangxi Normal University(Natural Science Edition), 2011, 29(3): 173-178.

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