Abstract
The image preprocessing and the skeleton orientation method are applied to segment a texture image with structure-oriented patterns. The technique is incorporated with a spatially adaptive classification of geometric features. The algorithm is tested on a set of artificial images and X-ray tomography scan of titanium alloy. The results are presented and discussed.
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The author would like to thank colleagues for many stimulating discussions, and to anonymous reviewers for helpful comments on the original version of the manuscript.
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Kornev, A. (2015). Texture Recognition by Spatially Adaptive Classification. In: Horne, R. (eds) Embracing Global Computing in Emerging Economies. EGC 2015. Communications in Computer and Information Science, vol 514. Springer, Cham. https://doi.org/10.1007/978-3-319-25043-4_9
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DOI: https://doi.org/10.1007/978-3-319-25043-4_9
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