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

School of Astronautics

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	1225-1228
Number of pages	4
Journal	Wuhan Daxue Xuebao (Xinxi Kexue Ban)/ Geomatics and Information Science of Wuhan University
Volume	33
Issue number	12
State	Published - Dec 2008

Keywords

Icon
Intersecting cortical model
Invariant feature
Matching
Target recognition
Wavelet transform

Cite this

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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",

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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

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M3 - 文章

AN - SCOPUS:57949094315

SN - 1671-8860

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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

Abstract

Keywords

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