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Multidimensional texture characterization using moments

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Noblesse Workshop on Non-Linear Model Based Image Analysis

Abstract

In this paper a moment based texture characterization technique is presented. The texture features are obtained directly from the gray-level image by computing the moments of the image in local regions. A texture is represented as a constellation of clusters in the multidimensional feature space. The computation of certain invariants is also mentioned.

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References

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© 1998 Springer-Verlag London Limited

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Qinghong, M., Cramariuc, B., Gabbouj, M. (1998). Multidimensional texture characterization using moments. In: Marshall, S., Harvey, N.R., Shah, D. (eds) Noblesse Workshop on Non-Linear Model Based Image Analysis. Springer, London. https://doi.org/10.1007/978-1-4471-1597-7_28

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  • DOI: https://doi.org/10.1007/978-1-4471-1597-7_28

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-76258-4

  • Online ISBN: 978-1-4471-1597-7

  • eBook Packages: Springer Book Archive

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