Earticle

초록

영어

Firstly, we applied the X-ray non-destructive testing technology to detect wood defects for getting the images. After graying the images, we calculated their GLCMS(Gray Level Co-occurrence Matrixes), then we normalized GLCMS to obtain the joint probabilities of GLCMS. The feature vectors of images, which included 13 eigenvalues of images were calculated and extracted by the joint probability of GLCMS. The fuzzy BP neural network(abbreviated as FBP) was designed by combining fuzzy mathematics and BP neural network . And the FBP neural network was regarded as the membership function of feature vectors, the outputs of the network was regarded as the degree of membership to the feature vectors in each category. We use the maximum degree of membership method for the pattern recognition of feature vectors, so the automatic identification and classification for feature vectors were achieved , and then the automatic identification of wood defects was realized. By simulated study and training many times, the results shown that the average recognition success rate of the network was more than 90%, and some FBP networks had an extremely high recognition success rate to training samples and test samples.

목차

Abstract
 1. Introduction
 2. Gray Level Co-occurrence Matrixes
 3. Feature Extractions of Wood Defects
 4. FBP Fuzzy Neural Networks
 5. FBP Network Learning and Training
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Hongbo Mu [ College of Science, Northeast Forestry University, Hexing Road 26, Harbin, Heilongjiang Province, 150040, PR China, ]
• Mingming Zhang [ College of Science, Northeast Forestry University, Hexing Road 26, Harbin, Heilongjiang Province, 150040, PR China, College of Bioinformatics Science and Technology, Harbin Medical University ]
• Dawei Qi [ College of Science, Northeast Forestry University, Hexing Road 26, Harbin, Heilongjiang Province, 150040, PR China ] Corresponding Author
• Shuyue Guan [ College of Science, Northeast Forestry University, Hexing Road 26, Harbin, Heilongjiang Province, 150040, PR China ]
• Haiming Ni [ College of Science, Northeast Forestry University, Hexing Road 26, Harbin, Heilongjiang Province, 150040, PR China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605