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Poster communications

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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Poster communications
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Submitted on : Wednesday, January 16, 2019 - 7:09:36 PM
Last modification on : Tuesday, January 18, 2022 - 3:28:05 PM


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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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