A Novel Recognition Algorithm Based on Optimal Wavelet Packet and Non-Negative Matrix Factorization  for Extracting Pathologic Features of Plant Image

Yin Laiwu; Chen Deyun; Li Changcheng; Chen Dong

A Novel Recognition Algorithm Based on Optimal Wavelet Packet and Non-Negative Matrix Factorization for Extracting Pathologic Features of Plant Image

원문정보

Yin Laiwu, Chen Deyun, Li Changcheng, Chen Dong

보안공학연구지원센터(IJSIP) International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.6 No.5 2013.10 pp.89-100

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초록

영어

This paper presents a new recognition algorithm for plant pathology images based on the Non-negative Matrix Factorization, the proposed algorithm is combined with optimal wavelet packet basis to recognize patterns and conduct data encoding in the internet of things oriented intelligent agricultural system. The experimental results show that the performance of the proposed recognition algorithm is far better than those of the principal component analysis and linear discriminant analysis, and the recognition rate are improved, on average, about 14.65% and 11.18% higher than the rates of the above algorithms respectively. The presented algorithm is characterized by the fast speed, high calculation accuracy and easy hardware implementation.

Abstract
1. Introduction
2. The Principal Theory of Wavelet Packet
  2.1. The Principal Theory of Wavelet Packet
  2.2. The Decomposition of Wavelet Packet Subspace
  2.3. The Decomposition and Reconstruction of Wavelet Packet
  2.4. The Selection of the Optimal Wavelet Packet Basis
3. Features Extraction of the Plant Pathology Image
  3.1. The Steps of Extracting the Plant Pathology Features
  3.2. The Advantages of Extracting the Plant Pathology Features
4. Simulation Results
5. Conclusion
Acknowledgements
References

키워드

저자정보

Yin Laiwu Harbin University of Science and Technology, Harbin, Jilin Agricultural Science and Technology College, Jinlin, China
Chen Deyun Harbin University of Science and Technology, Harbin, China Jilin Agricultural Science and Technology College, Jinlin, China
Li Changcheng Harbin University of Science and Technology, Harbin, China Jilin Agricultural Science and Technology College, Jinlin, China
Chen Dong Harbin University of Science and Technology, Harbin, China Jilin Agricultural Science and Technology College, Jinlin, China

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