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基于特征融合的图像检索算法研究

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特征的提取是图像检索的基础,其算法的选择与系统的检索性能有直接关系.文章对颜色直方图和Hu不变矩两种算法进行了详细的解释,由于单一特征的图像检索并不能满足人们的需求,因此,文章对基于特征融合的图像检索进行了深一步的研究.为了能使颜色特征和Hu特征进行更好的融合,加入了层次分析法来设定单一特征的权重.通过实验表明,引入层次分析法设定两种单一特征的权重的方法,不但提高了图像检索系统的检索性能,也提高了检索速度与检索效率.
Image Retrieval Algorithm Based on Feature Fusion
Feature extraction is the basis of image retrieval,and the choice of its algorithm is directly related to the retrieval performance of the system.The article explains the two algorithms of color histogram and Hu invariant moments in detail,and since image retrieval with single features does not meet people's needs,the article conducts a deeper research on image retrieval based on feature fusion.In order to make a better fusion of color features and Hu features,Hierarchical Analysis is added to set the weights of single features.The experiments show that the method of introducing hierarchical analysis to set the weights of two single features not only improves the retrieval performance of the image retrieval system,but also improves the retrieval speed and retrieval efficiency.

feature fusionimage retrievalfeature extractionimage databaseretrieval performance

王红军、梁挺、王书艳、肖渊渊

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新乡工程学院 机电工程学院,河南 新乡 453700

特征融合 图像检索 特征提取 图像数据库 检索性能

2024

数码设计

数码设计

ISSN:1672-9129
年,卷(期):2024.(13)