Image Recognition Based on Euler Sequence by PCNN

Shui Ming He; Yan Bin Ning; Lei Fu; Jian Ying Qin

doi:10.4028/www.scientific.net/AMR.228-229.1174

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 228-229Image Recognition Based on Euler Sequence by PCNN

Image Recognition Based on Euler Sequence by PCNN

Abstract:

The aim of this paper is to research the image recognition system and its applications, which is based on combining the traditional BP neural networks and the third-generation pulse coupled neural network (PCNN).The process is by extracting the image's Euler number sequences, then through the fast Fourier transform, and finally as inputs of the pattern classification. In order to test the stability of the system, we make some varies by rotating, tension and compressing the original image, meanwhile, combined with extracting the features such as time sequence, entropy sequence to do compare, the recognition results is satisfactory.

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Periodical:

Advanced Materials Research (Volumes 228-229)

Pages:

1174-1180

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.228-229.1174

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Online since:

April 2011

Authors:

Shui Ming He, Yan Bin Ning, Lei Fu, Jian Ying Qin

Keywords:

BP Neural Network (BPNN), Euler Sequence, Fast Fourier Transform (FFT), PCNN

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References

[1] Yanbin Ning, Shuiming He. Application Of BP Network in Evaluation Of Groundwater Quality[C]DCABES 2009 Proceeding, (2009).

Google Scholar

[2] Raul C. Muresan. Pattern recognition using pulse-coupled neural networks and discrete Fourier transforms. Neurocomputing 51 (2003) 487-493.

DOI: 10.1016/s0925-2312(02)00727-0

Google Scholar

[3] Xiaozhu Lin. A new formula Prove of Euler number about 2-dimtionnal image [J]. Science in china Ser. E Information Sciences, 2006 36(4): 429-436.

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[4] Shuiming He, Dianhong Wang, Yanbin Ning. Application of Pulse coupled neural network in image recognition[C]1 1 1 1 International Conference on Computing, control and Industrial Engineering, (2010).

DOI: 10.1109/ccie.2010.223

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