The Image Feature Extraction Algorithm Based on the DWT and the Improved 2DPCA

Wu Li

doi:10.4028/www.scientific.net/AMM.556-562.5042

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 556-562The Image Feature Extraction Algorithm Based on...

The Image Feature Extraction Algorithm Based on the DWT and the Improved 2DPCA

Abstract:

The technology of 2DPCA is the feature extraction method proposed aiming at two-dimension image based on the traditional PCA algorithm. The paper proposed a improved weighting 2DPCA algorithm, combined with the two-dimension discrete DWT to handle the image, posing the new feature abstraction method, experiment improved that the new feature abstraction method can improve the target recognition efficiently compared with the original 2DPCA algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 556-562)

Pages:

5042-5045

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.556-562.5042

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Online since:

May 2014

Authors:

Wu Li*

Keywords:

2DPCA, DWT, Feature Extraction, Variance Contribution Rate, Weighting 2DPCA

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* - Corresponding Author

References

[1] Information on http: /www. doc88. com/p-303517926425. html.

Google Scholar

[2] Zhang Shengliang, Yang Jingyu. ：Overview of 2DPCA and 2DLD Related Researches,. World Sci-tech R & D, Vol. 30, No. 3 (2008), pp.286-289.

Google Scholar

[3] Yang Mingli, Li Changqing, Chen Lina: DWT applicate in Image Compression, . Electronics World , 2013(13).

Google Scholar

[4] M. Zhu and A.M. Martinez: discriminant analysis. IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 28(8), p.1274-p.1286, (2006).

DOI: 10.1109/tpami.2006.172

Google Scholar

[5] J.S. Lee: A simple smoothing algorithm for synthetic aperture radar images. IEEE Trans. on System, Man, and Cybernetics. Vol. 13(1), p.89-p.95, (1983).

DOI: 10.1109/tsmc.1983.6313036

Google Scholar

[6] Hu Jisheng: Image Processing Based on Wavelet Transformation,. Journal of Anhui Vocational and Technical College, Vol. 5(2006).

Google Scholar

[7] Su Qinghua, Guo Shuhui. Multi-resolution Analysis Generation of Haar Wavelet Basis,. China Water Transport (Theory Edition), (2006).

Google Scholar

[8] Yuan Weilin, Ma yan, Liu Shengwei: Analysis of Remote Sensing image compression based on DWT and Matlab,. Geomatics World 2013(3).

Google Scholar

[9] Huang Cheng. 2DPCA and Face Recognition Based on Image Pre-processing,. Computer Programming Technique and Maintenance, 2012(6)Project Number: 2013-QGY-10 Young and Middle-aged Foundation Program of Qinghai University2013-Z-930Q Youth Program of Qinghai Natural Foundation.

Google Scholar