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Multiscale extraction of features from medical images

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Computer Analysis of Images and Patterns (CAIP 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 970))

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Abstract

We present a fast and reliable algorithm, based on iso-surface techniques, to extract differential invariant features at increasing scales. We show that it automatically finds the connection order of singularities, hence it is easy to follow features across scales. As an example, we visualize the orbits of corner points, and compare some criterions to measure their significance.

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Václav Hlaváč Radim Šára

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© 1995 Springer-Verlag Berlin Heidelberg

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Fidrich, M., Thirion, J.P. (1995). Multiscale extraction of features from medical images. In: Hlaváč, V., Šára, R. (eds) Computer Analysis of Images and Patterns. CAIP 1995. Lecture Notes in Computer Science, vol 970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60268-2_357

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  • DOI: https://doi.org/10.1007/3-540-60268-2_357

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60268-2

  • Online ISBN: 978-3-540-44781-8

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