Application of ICM invariant feature based on wavelet to image matching recognition

Ruixing Yu; Bing Zhu; Ke Zhang; Meibai Lue

Application of ICM invariant feature based on wavelet to image matching recognition

Ruixing Yu, Bing Zhu, Ke Zhang, Meibai Lue

航天学院

Northwestern Polytechnical University Xian

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Because ICM icon has the shift, scale and rotation invariance, so it is often used in image matching recognition algorithm to improve the matching rate of the real-time map and the reference map. But ICM icon is sensitive to the noise, so a novel recognition algorithm based on ICM icon and wavelet is introduced. The experimental results show that this method can gain high matching rate when the target has the shift, scale rotation change or noise.

源语言	英语
页（从-至）	1225-1228
页数	4
期刊	Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University
卷	33
期	12
出版状态	已出版 - 12月 2008

其它文件与链接

链接到 Scopus 的出版物

引用此

@article{39378808c5cd463881c2007650f65af0,

title = "Application of ICM invariant feature based on wavelet to image matching recognition",

abstract = "Because ICM icon has the shift, scale and rotation invariance, so it is often used in image matching recognition algorithm to improve the matching rate of the real-time map and the reference map. But ICM icon is sensitive to the noise, so a novel recognition algorithm based on ICM icon and wavelet is introduced. The experimental results show that this method can gain high matching rate when the target has the shift, scale rotation change or noise.",

keywords = "Icon, Intersecting cortical model, Invariant feature, Matching, Target recognition, Wavelet transform",

author = "Ruixing Yu and Bing Zhu and Ke Zhang and Meibai Lue",

year = "2008",

month = dec,

language = "英语",

volume = "33",

pages = "1225--1228",

journal = "Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University",

issn = "1671-8860",

publisher = "Editorial Department of Geomatics and Information Science of Wuhan University",

number = "12",

}

TY - JOUR

T1 - Application of ICM invariant feature based on wavelet to image matching recognition

AU - Yu, Ruixing

AU - Zhu, Bing

AU - Zhang, Ke

AU - Lue, Meibai

PY - 2008/12

Y1 - 2008/12

N2 - Because ICM icon has the shift, scale and rotation invariance, so it is often used in image matching recognition algorithm to improve the matching rate of the real-time map and the reference map. But ICM icon is sensitive to the noise, so a novel recognition algorithm based on ICM icon and wavelet is introduced. The experimental results show that this method can gain high matching rate when the target has the shift, scale rotation change or noise.

AB - Because ICM icon has the shift, scale and rotation invariance, so it is often used in image matching recognition algorithm to improve the matching rate of the real-time map and the reference map. But ICM icon is sensitive to the noise, so a novel recognition algorithm based on ICM icon and wavelet is introduced. The experimental results show that this method can gain high matching rate when the target has the shift, scale rotation change or noise.

KW - Icon

KW - Intersecting cortical model

KW - Invariant feature

KW - Matching

KW - Target recognition

KW - Wavelet transform

UR - http://www.scopus.com/inward/record.url?scp=57949094315&partnerID=8YFLogxK

M3 - 文章

AN - SCOPUS:57949094315

SN - 1671-8860

VL - 33

SP - 1225

EP - 1228

JO - Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University

JF - Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University

IS - 12

ER -

Application of ICM invariant feature based on wavelet to image matching recognition

摘要

其它文件与链接

指纹

引用此