Application of Wavelet Transform in Image Matching Technology

Ya Ping Zhang; Wen Shi

doi:10.4028/www.scientific.net/AMM.419.866

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Simulation of Pollutant Transportation in Yinluan Open Channel under the Effects of Wind
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Risk Grading of Water Pollution Event with Applying Pollutant Transportation Simulation
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Study on the Compressibility of the Silt in Hangzhou, China
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Research on Water Ecological Protection and Restoration for Dangyang District of Juzhang River Area in Yichang City
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Application of Wavelet Transform in Image Matching Technology
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Study on Boundary Conditions of the Natural Vibrations for Self-Anchored Cable-Stayed Suspension Bridges
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Regional Vulnerability Analysis of Grid Structure
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 419Application of Wavelet Transform in Image Matching...

Application of Wavelet Transform in Image Matching Technology

Abstract:

Aiming at the image process demands, a kind of image matching recognition algorithm based on statistical characteristics of the image after wavelet transform was proposed. This algorithm adopts wavelet to perform multiple scale two-dimensional wavelet transform for image. The corresponding progeny images energy distribution in different direction and different scale will be taken as statistical characteristics. The targets to be recognized can be identified through the angle's cosine value between the extracted statistical features from the targets and the statistical characteristics of the standard library image. Finally, the bar codes of books are adopted to verify this method and the results show that the algorithm has good recognition effect for the different characters in bar codes.

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Periodical:

Applied Mechanics and Materials (Volume 419)

Pages:

866-871

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.419.866

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Online since:

October 2013

Authors:

Ya Ping Zhang, Wen Shi

Keywords:

Identification, Image Matching, Statistical Characteristic, Wavelet Transform (WT)

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References

[1] Jeffrey Bingham. An Optimized Image Matching Method for Determining In-VivoTKA Kinematics with a Dual-Orthogonal Fluoroscopic Imaging System. Transactions of the ASME, 2006, 128: 588-594.

DOI: 10.1115/1.2205865

Google Scholar

[2] Fan Xinnan, Zhu Jiayuan. Fast Image Matching Algorithm Based on Waveclet Transform and it's Implementation[J]. Coputer Engineering and Design, 2009, 30(20): 4674-4676.

Google Scholar

[3] M. Holliman, N. Memon, Counterfeiting Attacks on Oblivious Block-wise Independent Invisible Watermarking Schemes, IEEE Transaction on Image Processing, Vol. 9, No. 3, 2000, pp: 432-441.

DOI: 10.1109/83.826780

Google Scholar

[4] Chang-Chou Lin, Wen-Hsiang Tsai, Secret image sharing with steganography and authentication, journal system and software, Vol. 73, 2004, pp: 405-414.

DOI: 10.1016/s0164-1212(03)00239-5

Google Scholar

[5] D.S. Tsai, G. Horng, T.H. Chen, Y.T. Huang, A novel secret image sharing scheme for true-color images with size constraint, journal of information science, Vol. 179, No. 19, 2009, pp: 3247-3257.

DOI: 10.1016/j.ins.2009.05.020

Google Scholar

[6] Fravolini. Mario Luca, Campa. Giampiero, Napolitano. Marcello R, Modelling and performance analysis of a machine vision-based semi-autonomous aerial refuelling, International Journal of Modeling, Identification and Control, Vol. 3, No. 4, 2008, pp: 357-367.

DOI: 10.1504/ijmic.2008.020544

Google Scholar

[7] B.B. Zhu, M.D. Swanson, A.H. Tewfik, When Seeing Isn't Believing, IEEE Signal Processing Magazine, Vol. 21, No. 2, 2004, pp: 40-49.

DOI: 10.1109/msp.2004.1276112

Google Scholar