The Application of Wavelet Transform in Image Dispose

Rui Ren; Xun Zhou; Ju Han; Si Ming Xing

doi:10.4028/www.scientific.net/AMM.239-240.907

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 239-240The Application of Wavelet Transform in Image...

The Application of Wavelet Transform in Image Dispose

Abstract:

The features of wavelet transform is firstly introduced in this paper, then the directional wavelet is introduced to pick up image characteristic, finally, the experimental results of directional wavelet used in characteristic identification of character-figure is given, it proves this characteristics puck-up method has good local direction characteristics, this function make it has good identification capacity for typical noise of character: stroke missed, stroke break, mechanism twitter, stroke conglutination, so it very useful for character identification.

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Periodical:

Applied Mechanics and Materials (Volumes 239-240)

Pages:

907-910

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.239-240.907

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Online since:

December 2012

Authors:

Rui Ren, Xun Zhou, Ju Han, Si Ming Xing

Keywords:

Directional Wavelet, Edge Detection, Figure Identification, Wavelet Transform (WT)

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References

[1] G. Cybenko. Approximation By Sigmoidal Function. Mathematics of Control, Signal and System, 1989(2):303-314

Google Scholar

[2] Chen Fanwu. The application of wavelet transform in image dispose. Beijing: Science Press, 2002:77-83

Google Scholar

[3] R. L. Devaney. A First Course in Chaotic dynamical System:Theory andExperiment.MA:Addison-Wesley,1992: 155-161

Google Scholar

[4] Bian Zhaoqi, Zhang Xuegong. Pattern Recognition, 1999:411-413

Google Scholar

[5] M. Robert. Quantization Noise Spectra. IEEE Trans. Information Theory, 1990, 28 (7): 36-45

Google Scholar

[6] Anil K. Jain. Representation and Recognition of Handwritten Digits using Deformable Templates. IEEE transaction on pattern analysis and machine intelligence, December 1997, 19(12):991-1002

DOI: 10.1109/34.643899

Google Scholar

[7] Ku Sen Chou. A Reclassification Method for Chinese Recognition Based on external and Overall Feature. Pattern Recognition, 1997, 30(3):483-489

Google Scholar

[8] Chen Jiaming, Zhang Mingzhao, Qi Hongyu. Process of Speech Digital Signal and Digital Image by Matlab. Science press, 2000:351-352

Google Scholar

[9] Wang Moran. Matlab6.0 and Science Calculation. Electronic Industry Press, 2001: 91-99

Google Scholar

[10] Wen Shan, Li Bao-qing. Multidirectional Image Edge Detection Based on Wavelet laid [J]. Acta Automatica sinica, 2007, 33(5):482-487.

Google Scholar