An algorithm of image retrieval based on shape feature extraction and BP neural network

被引：0

作者：

Liu, Tongyan ^{[1
]}

Liu, Zongguo ^{[2
]}

Wu, Guoqing ^{[3
]}

机构：

[1] Institute of Software Technology, Qingdao University, Qingdao

[2] International Colleges, Qingdao University, Qingdao

[3] Qingdao Branch, Naval Aeronautical Engineering Institute, Qingdao

来源：

Journal of Information and Computational Science | 2015年 / 12卷 / 18期

关键词：

BP neural network; Image retrieval; Recognition of shape; Shape features extraction;

D O I：

10.12733/jics20150008

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

Shape is one of most prominent characters of image. Shape-based image retrieval is an extremely important part of content-based image retrieval, extracting and describing shape features and then realizing retrieval of images by the similarities among shape features. For shape-based image retrieval, the extraction and description of shape features of images are significant research content, and in the paper, we made further research, expatiated on current methods of describing shape features, and improved extraction methods of characteristic parameters, giving corresponding algorithms. On that basis, we extracted a set of eigenvalue, forming eigenvector. After normalizing them, we could conduct shape recognition through BP neural network. © 2015 by Binary Information Press.

引用

页码：6727 / 6736

页数：9

共 9 条

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