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Poster Communications Year : 2018

Mathematical Morphology on Tensor Images for Fiber Enhancement

Abstract

We introduce morphological methods to analyse images of positive semi-definite matrices (ellipsoids), such as diffusion or structure tensors. Morphological operators cannot be directly defined on these objects because they lack a complete lattice structure. Therefore, we extend recent developments in morphological signal processing on graphs. Graphs are constructed based on all the available information, whereas a scalar signal (anisotropy) is processed on these graphs, successfully enhancing structures such as vessels and fibers.
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Dates and versions

hal-01984204 , version 1 (16-01-2019)

Identifiers

  • HAL Id : hal-01984204 , version 1

Cite

Samy Blusseau, Isabelle Bloch, Y. Gousseau, S Velasco-Forero, Jesus Angulo. Mathematical Morphology on Tensor Images for Fiber Enhancement. SIAM Conference on IMAGING SCIENCE, Jun 2018, Bologna, Italy. ⟨hal-01984204⟩
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