Technology of Pipa Panel Texture and Contour Extraction Based on Improved GVF Snake Algorithm

  • Ying-lai Huang
  • Yi-xing Liu
  • Zhen-bo Liu
  • Jjian-min Su
  • Xiao-li Wang
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 158)

Abstract

Panel is an important component of pipa and it has an extremely relationship with the voice actor of musical instruments. The warts of textures, width of annual rings, presence of scars and cracks are all part of the main parameters when selecting panels. This paper uses a GVF Snake model based on the ant colony algorithm to improve image analysis of pipa panel, overcomes the external force field faults in the original GVF Snake model and finally obtains determined texture contours which is closer to the target object , the algorithm not only reduces the iterations, it also improves the calculating speed and expands the capturing ranges at the same time. It provides accurate data for realizing the scientific and automatic selection of pipa panels.

Keywords

Texture identification Ant Colony Algorithm GVF Snake model Greedy algorithm Contour extraction 

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References

  1. 1.
    Sheng, X.: Singing bump-Explore of Ethnic Musical Instruments Pipa Production Material. Chinese Timber 3, 19–21 (2008)Google Scholar
  2. 2.
    Gao, Z., Lin, S.: Pipa Production. Musical Instrument 6, 12–14 (1981)Google Scholar
  3. 3.
    Liu, Z.: Present research situation and the development tendency of acoustic quality of lumber in resonance in national Musical Instruments. Forestry Science 46(8), 151–156 (2010)Google Scholar
  4. 4.
    Kass, M., Withkin, A., Terzopoulos, D.: Snakes Active Contour Models. International Journal of Computer Vision 1(4), 321–331 (1987)CrossRefGoogle Scholar
  5. 5.
    Dorigo, M., Maniezzo, V., Colorni, A.: Ant system:optimization by a colony of cooperating agents. IEEE Trans. on Systems Man and Cybernetics-Part B 26(1), 29–41 (1996)CrossRefGoogle Scholar
  6. 6.
    Xu, C.-Y., Prince, J.L.: Snakes, shapes and gradient vector flow. IEEE Transactions on Image Processing 7(3), 359–369 (1998)MathSciNetMATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Ying-lai Huang
    • 1
  • Yi-xing Liu
    • 2
  • Zhen-bo Liu
    • 2
  • Jjian-min Su
    • 1
  • Xiao-li Wang
    • 1
  1. 1.Information and Computer Engineering CollegeNortheast Forestry UniversityHarbinChina
  2. 2.Material Science and Engineering CollegeNortheast Forestry UniversityHarbinChina

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