Abstract
This paper presents an automatic recognition approach for complex fiber images, including the binarization method based on fiber boundary continuity and variance, the corner detection algorithm based on chain codes, the recognition method based on the curvature similarity in the same fiber. The experimental results show that the most fibers can be recognized by using the proposed automatic recognition methods.
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© 2009 Springer-Verlag Berlin Heidelberg
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Ma, Y., Li, Sb. (2009). New Algorithms for Complex Fiber Image Recognition. In: Deng, H., Wang, L., Wang, F.L., Lei, J. (eds) Artificial Intelligence and Computational Intelligence. AICI 2009. Lecture Notes in Computer Science(), vol 5855. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05253-8_34
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DOI: https://doi.org/10.1007/978-3-642-05253-8_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05252-1
Online ISBN: 978-3-642-05253-8
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