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Hierarchical Analysis of Low-Contrast Temporal Images with Linear Scale Space

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3117))

Abstract

This paper focuses on the spatio-temporal analysis to the topology of topography of temporal gray-value images. We extract a sequence of trees which expresses the hierarchical structure of a temporal gray-value image using the linear scale space analysis. This hierarchical features of temporal images provide topological and geometrical information for the global understanding of temporal images.

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© 2004 Springer-Verlag Berlin Heidelberg

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Sakai, T., Imiya, A. (2004). Hierarchical Analysis of Low-Contrast Temporal Images with Linear Scale Space. In: Sonka, M., Kakadiaris, I.A., Kybic, J. (eds) Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis. MMBIA CVAMIA 2004 2004. Lecture Notes in Computer Science, vol 3117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-27816-0_13

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  • DOI: https://doi.org/10.1007/978-3-540-27816-0_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22675-8

  • Online ISBN: 978-3-540-27816-0

  • eBook Packages: Springer Book Archive

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