The application of wavelet invariant moments to image recognition

Rui Hong Yang; Quan Pan; Yong Mei Cheng

doi:10.1109/ICMLC.2006.258434

The application of wavelet invariant moments to image recognition

Rui Hong Yang, Quan Pan, Yong Mei Cheng

School of Automation

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

In this paper, wavelets invariant moments are presented based on general moment features and are applied to the recognition of airplane images. The experiments prove that wavelet invariant moments are superior to Hu's invariant moments and Zernike invariant moments on recognition efficiency.

Original language	English
Title of host publication	Proceedings of the 2006 International Conference on Machine Learning and Cybernetics
Pages	3243-3247
Number of pages	5
DOIs	https://doi.org/10.1109/ICMLC.2006.258434
State	Published - 2006
Event	2006 International Conference on Machine Learning and Cybernetics - Dalian, China Duration: 13 Aug 2006 → 16 Aug 2006

Publication series

Name	Proceedings of the 2006 International Conference on Machine Learning and Cybernetics
Volume	2006

Conference

Conference	2006 International Conference on Machine Learning and Cybernetics
Country/Territory	China
City	Dalian
Period	13/08/06 → 16/08/06

Keywords

BP neural network
Divergence
Feature selection
Hu's invariant moments
Sequential forward selection
Wavelet invariant moments
Zernike invariant moments

Access to Document

10.1109/ICMLC.2006.258434

Cite this

Yang, R. H., Pan, Q., & Cheng, Y. M. (2006). The application of wavelet invariant moments to image recognition. In Proceedings of the 2006 International Conference on Machine Learning and Cybernetics (pp. 3243-3247). Article 4028626 (Proceedings of the 2006 International Conference on Machine Learning and Cybernetics; Vol. 2006). https://doi.org/10.1109/ICMLC.2006.258434

@inproceedings{03393c08aa9a4cf2af9d8827b862c515,

title = "The application of wavelet invariant moments to image recognition",

abstract = "In this paper, wavelets invariant moments are presented based on general moment features and are applied to the recognition of airplane images. The experiments prove that wavelet invariant moments are superior to Hu's invariant moments and Zernike invariant moments on recognition efficiency.",

keywords = "BP neural network, Divergence, Feature selection, Hu's invariant moments, Sequential forward selection, Wavelet invariant moments, Zernike invariant moments",

author = "Yang, {Rui Hong} and Quan Pan and Cheng, {Yong Mei}",

year = "2006",

doi = "10.1109/ICMLC.2006.258434",

language = "英语",

isbn = "1424400619",

series = "Proceedings of the 2006 International Conference on Machine Learning and Cybernetics",

pages = "3243--3247",

booktitle = "Proceedings of the 2006 International Conference on Machine Learning and Cybernetics",

note = "2006 International Conference on Machine Learning and Cybernetics ; Conference date: 13-08-2006 Through 16-08-2006",

}

Yang, RH, Pan, Q & Cheng, YM 2006, The application of wavelet invariant moments to image recognition. in Proceedings of the 2006 International Conference on Machine Learning and Cybernetics., 4028626, Proceedings of the 2006 International Conference on Machine Learning and Cybernetics, vol. 2006, pp. 3243-3247, 2006 International Conference on Machine Learning and Cybernetics, Dalian, China, 13/08/06. https://doi.org/10.1109/ICMLC.2006.258434

The application of wavelet invariant moments to image recognition. / Yang, Rui Hong; Pan, Quan ; Cheng, Yong Mei.
Proceedings of the 2006 International Conference on Machine Learning and Cybernetics. 2006. p. 3243-3247 4028626 (Proceedings of the 2006 International Conference on Machine Learning and Cybernetics; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Pan, Quan

AU - Cheng, Yong Mei

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N2 - In this paper, wavelets invariant moments are presented based on general moment features and are applied to the recognition of airplane images. The experiments prove that wavelet invariant moments are superior to Hu's invariant moments and Zernike invariant moments on recognition efficiency.

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KW - BP neural network

KW - Divergence

KW - Feature selection

KW - Hu's invariant moments

KW - Sequential forward selection

KW - Wavelet invariant moments

KW - Zernike invariant moments

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M3 - 会议稿件

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SN - 9781424400614

T3 - Proceedings of the 2006 International Conference on Machine Learning and Cybernetics

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BT - Proceedings of the 2006 International Conference on Machine Learning and Cybernetics

T2 - 2006 International Conference on Machine Learning and Cybernetics

Y2 - 13 August 2006 through 16 August 2006

ER -

The application of wavelet invariant moments to image recognition

Abstract

Publication series

Conference

Keywords

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