Multiscale Top_Hat Tensor (MTHT)
|INPUT||OUTPUT MTHT-VESSELNESS||OUTPUT MTHT-NEURITENESS|
2D and 3D Multiscale image enhacment based on Top-Hat transform and local tensor representation
Curvilinear Structure Enhancement by Multiscale Top-Hat Tensor in 2D/3D Images (2018)
Shuaa S. Alharbi, Cigdem Sazak, Chas Nelson and Boguslaw Obara
This repository contains all the codes written and implemented for the paper: 'Curvilinear Structure Enhancement by Multiscale Top-Hat Tensor in 2D/3D Images' by Shuaa S. Alharbi, Cigdem Sazak, Chas Nelson and Boguslaw Obara, in IEEE International Conference on Bioinformatics & Biomedicine (BIBM 2018), Madrid, December 3-6, 2018.
If you find this code useful in your research and development, please reference this repository or the paper.
This repositoty is under a GNU General Public License v2.0 (see included "LICENSE" file).