A novel local intensity order transformation for robust curvilinear object segmentation(TIP)
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Updated
Oct 12, 2022 - Python
A novel local intensity order transformation for robust curvilinear object segmentation(TIP)
This repository contains the implementation for our work "Topology-Aware Uncertainty for Image Segmentation", accepted to NeurIPS 2023.
In this repository, two types of robust multi-scale anisotropy features, namely PCmPA and PCmFFA, that considering the local contextual information of curvilinear structures are extracted from phase congruency maps for the effective discrimination of isotropic structures and curvilinear structures.
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