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.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Huang, Yl., Liu, Yx., Liu, Zb., Su, Jm., Wang, Xl. (2012). Technology of Pipa Panel Texture and Contour Extraction Based on Improved GVF Snake Algorithm. In: Luo, J. (eds) Soft Computing in Information Communication Technology. Advances in Intelligent and Soft Computing, vol 158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29148-7_26
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DOI: https://doi.org/10.1007/978-3-642-29148-7_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29147-0
Online ISBN: 978-3-642-29148-7
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