Earticle

초록

영어

Nowadays, X-ray computed tomography (CT) wood nondestructive testing technology has been applied to detection of internal defects in log for the purpose of obtaining the optimal wood cutting plan. Multifractal spectrum and wavelet transform are usually used for analyzing, modeling, and extracting different complex features of signals and images. A novel CT image edge detection method which using multifractal spectrum theory combined with wavelet transform is applied in this paper. The new method can be divided into the following main steps: (1) Calculating the wavelet module values of wood defect image. (2) Combining wavelet transform module values with multifractal theory. (3) Calculating the multifractal spectrum from the wavelet transform. (4) Selecting the appropriate threshold to wood defects detection. A large number of experimental results show that the new method to recognize the wood defects is effective.

목차

Abstract
 1. Introduction
 2. Multifractal Formalism
  2.1. Lipschitz-Hölder Exponent
  2.2. Legendre Spectrum
 3. Wavelet Transform and Its Module Value
 4. Image Multifractal Analysis Method Based on Wavelet Transform
 5. Experiment and Results
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Hai ming Ni [ College of Science, Northeast Forestry University, Hexing Road 26, Harbin, Heilongjiang Province, 150040, PR China ]
• Da wei Qi [ College of Science, Northeast Forestry University, Hexing Road 26, Harbin, Heilongjiang Province, 150040, PR China ] Correspending Author
• Hongbo Mu. [ 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