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Radiometric correction of color cryosection images for three-dimensional segmentation of fine structures

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Visualization in Biomedical Computing (VBC 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1131))

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Abstract

We address the problem of correction of radiometric inhomogeneity present in the color images of the anatomical cryosections from the Visible Human Project (VHP) data base. We devised an adaptive correction that is propagated along a series of parallel slices, taking advantage of spatial coherence between consecutive slices. No blurring is introduced, and fine detail and texture are respected. Results of 3D segmentation of fine blood vessels on the corrected volume are presented.

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Authors and Affiliations

  1. Dept. Images, Ecole Nationale Supérieure de Télécommunications, 46, rue Barrault, 75634, Paris Cedex 13, France

    Jorge Márquez & Francis Schmitt

Authors
  1. Jorge Márquez
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  2. Francis Schmitt
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Karl Heinz Höhne Ron Kikinis

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© 1996 Springer-Verlag Berlin Heidelberg

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Márquez, J., Schmitt, F. (1996). Radiometric correction of color cryosection images for three-dimensional segmentation of fine structures. In: Höhne, K.H., Kikinis, R. (eds) Visualization in Biomedical Computing. VBC 1996. Lecture Notes in Computer Science, vol 1131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046944

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  • DOI: https://doi.org/10.1007/BFb0046944

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61649-8

  • Online ISBN: 978-3-540-70739-4

  • eBook Packages: Springer Book Archive

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