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	Bionic RSTN invariant feature extraction method for image recognition and its application
	Yu, Lingli; Zhou, Kaijun; Yang, Yongliang; Chen, Haichu
刊名	IET Image Processing
	2017
卷号	Vol.11 No.4页码:227-236
关键词	edge detection feature extraction Gabor filters image recognition bionic RSTN invariant feature extraction rotation-scaling-translation-noise biological vision orientation edge detection filter-to-filter scheme Gabor filters bottom filter bipolar filters top filter horizontal direction orientation edge vertical direction orientation edge vision cortex response interval detector spatial frequency interval detection traffic sign recognition orientation-interval feature map
ISSN号	1751-9659;1751-9667
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/6048422
专题	湖南大学
作者单位	1.School of Information Science and Engineering, Central South University, Changsha 2.410083, China 3.School of Computer and Information Engineering, Hunan University of Commerce, Changsha 4.410205, China 5.College of Engineering, Michigan State Unive
推荐引用方式 GB/T 7714	Yu, Lingli,Zhou, Kaijun,Yang, Yongliang,et al. Bionic RSTN invariant feature extraction method for image recognition and its application[J]. IET Image Processing,2017,Vol.11 No.4:227-236.
APA	Yu, Lingli,Zhou, Kaijun,Yang, Yongliang,&Chen, Haichu.(2017).Bionic RSTN invariant feature extraction method for image recognition and its application.IET Image Processing,Vol.11 No.4,227-236.
MLA	Yu, Lingli,et al."Bionic RSTN invariant feature extraction method for image recognition and its application".IET Image Processing Vol.11 No.4(2017):227-236.

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