摘要
随着信息技术的快速发展,视频、图像等媒体网络信息取代了传统的文本网络信息,基于内容的图像检索成为当今研究的热点问题.本文在分别对基于HSV空间的颜色直方图方法与基于共生矩阵的纹理方法比较的基础上,提出了一种融合颜色与纹理特征的图像检索方法,实现了多特征检索.实验结果显示,当两特征的权重值分别为0.5,0.5时,检索效果大幅度提高.
With the rapid progress of IT technology,multimedia network information such as videos and images has replaced the traditional text network information,and content-based image retrieval has become a hot research issue. In this paper,after comparing the color histogram approach based on HSV and the texture feature approach based on co-occurrence matrix,a multi-features image retrieval approach fusing color and texture features is proposed. Experiment results show that the retrieval effect will be much better when the weight of the two features are 0. 5 and 0. 5 respectively.
出处
《鲁东大学学报（自然科学版）》
2016年第4期322-326,共5页
Journal of Ludong University:Natural Science Edition
基金
国家自然科学基金(61472172)
山东省自然科学基金(ZR2012FM008)
