基于混合引力搜索的自适应特征提取算法

doi:10.3969/j.issn.1000-3428.2015.06.034

计算机工程

基于混合引力搜索的自适应特征提取算法

易唐唐¹,黄立宏^1,2

(1. 湖南女子学院信息技术系,长沙410004; 2. 湖南大学数学与计量经济学院,长沙410082)

收稿日期:2014-08-25 出版日期:2015-06-15 发布日期:2015-06-15
作者简介:易唐唐(1983 - ),女,讲师、硕士,主研方向:图像检索,智能信息处理;黄立宏,教授、博士。
基金资助:
国家科技支撑计划基金资助项目(2012BAH08B00);湖南省教育厅科学研究基金资助青年项目(12B066)。

Adaptive Feature Extraction Algorithm Based on Hybrid Gravity Search

YI Tangtang¹,HUANG Lihong^1,2

(1. Department of Information Technology,Hunan Women’s University,Changsha 410004,China; 2. College of Mathematics and Econometrics,Hunan University,Changsha 410082,China)

Received:2014-08-25 Online:2015-06-15 Published:2015-06-15

摘要/Abstract

摘要：

为提高基于内容的图像检索(CBIR)算法的检索性能,提出一种同时进行自适应特征提取和选择的CBIR 算法。该算法通过同步特征提取和选择,减少低级视觉特征和高级语义之间的语义差距,使用参数化小波提高图像细节的准确度,利用混合引力搜索算法优化颜色直方图特征中母小波函数和量化间隔参数。在Corel 收集的 1 000 幅图像上的实验结果表明,相比最相关特征算法、引力搜索算法和支持向量机的融合算法、模糊颜色直方图和模糊字符串匹配的融合算法,该算法的检索精度较高,平均耗时较少。

关键词: 图像检索, 特征提取, 离散小波变换, 引力搜索算法, 模糊颜色直方图

Abstract:

A new algorithm with adaptive feature extraction and feature selection simultaneously is proposed to improve the performance of Content-based Image Retrieval(CBIR). Semantic gap between low-level visual features and high-level semantic information is reduced by synchronization in feature extraction and feature selection. A parameterized wavelet is used to improve accuracy of image details. Mother wavelet function of color histogram feature is optimized and interval parameters are quantified using multiple gravity search algorithm. Experimenal results on 1 000 images searched by Corel show that compared with the most relevant algorithm,fusion algorithm of Gravitational Search Algorithm and Support Vector Machine(GSA-SVM),fusion algorithm of Fuzzy Color Histogram and Fuzzy String Matching(FCH-FSM),the retrieval accuracy is higher,and the and average time consumption is less.

Key words: image retrieval, feature extraction, Discrete Wavelet Transform (DWT), Gravitational Search Algorithm (GSA), Fuzzy Color Histogram(FCH)

中图分类号:

TP391

易唐唐,黄立宏. 基于混合引力搜索的自适应特征提取算法[J]. 计算机工程, doi: 10.3969/j.issn.1000-3428.2015.06.034.

YI Tangtang,HUANG Lihong. Adaptive Feature Extraction Algorithm Based on Hybrid Gravity Search[J]. Computer Engineering, doi: 10.3969/j.issn.1000-3428.2015.06.034.

http://www.ecice06.com/CN/Y2015/V41/I6/188

参考文献

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