[1]曹建芳,陈俊杰,赵青杉.基于多语义特征融合的图像检索[J].计算机技术与发展,2014,24(05):134-137.
　CAO Jian-fang[][],CHEN Jun-jie[],ZHAO Qing-shan[].mage Retrieval Based on Various Semantic Feature Fusion[J].,2014,24(05):134-137.
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基于多语义特征融合的图像检索()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年05期
页码:
134-137
栏目:
智能、算法、系统工程
出版日期:
2014-05-31

文章信息/Info

Title:
mage Retrieval Based on Various Semantic Feature Fusion
文章编号:
1673-629X（2014）05-0134-04
作者:
曹建芳12; 陈俊杰2; 赵青杉1
1.忻州师范学院 计算机科学与技术系；2.太原理工大学 计算机与软件学院
Author(s):
CAO Jian-fang[1][2]; CHEN Jun-jie[2]; ZHAO Qing-shan[1]
关键词:
图像检索; 特征提取; 语义特征融合
Keywords:
image retrieval; feature extraction; semantic feature fusion
分类号:
TP391
文献标志码:
A
摘要:
多媒体技术的发展导致数字图像迅速增长，如何根据语义特征高效检索出满足用户要求的图像，已成为当前各行业迫切需要解决的问题。为此提出一种基于颜色、纹理和形状三种语义特征的图像检索方法，建立了颜色和纹理特征的语义描述，使用BP神经网络实现了低层视觉特征到高层语义特征的映射。选取Corel图像库作为测试图像库，实验通过与基于颜色语义特征的检索方法相比较，取得了良好的实验效果。
Abstract:
The development of multimedia technology has resulted in the rapid growth of digital images. It has become an urgent problem to retrieve images which can better meet the users' requirements according to semantic features. A method on image retrieval based on three local features of color,texture and shape is proposed. The method builds semantic description of color and texture features,uses BP neural network to implement the mapping between low visual features and semantic features. Using Corel image database as testing image database,experiments have achieved good effect compared with the method only based on color semantic feature.

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更新日期/Last Update: 1900-01-01