Abstract
In this paper, we propose a method for extracting the shell texture feature of the coscinodiscus. According to the characteristics of these textures, we use the local fractal dimension (LFD) matrix based on the extended fractional brown motion (FBM) as the texture feature to help recognising the species of the coscinodiscus. The experiments have proved the method is effective.
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© 2006 Springer-Verlag Berlin Heidelberg
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Ji, G., Feng, C., Dong, S., Zhou, L., Nian, R. (2006). Analysis of Shell Texture Feature of Coscinodiscus Based on Fractal Feature. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing in Signal Processing and Pattern Recognition. Lecture Notes in Control and Information Sciences, vol 345. Springer, Berlin, Heidelberg . https://doi.org/10.1007/978-3-540-37258-5_81
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DOI: https://doi.org/10.1007/978-3-540-37258-5_81
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37257-8
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