Semi-Automated Reconstruction of Curvilinear Structures in Noisy 2D Images and 3D Image Stacks

We propose a new approach to semi-automated delineation of curvilinear structures in a wide range of imaging modalities. Earlier approaches lack robustness to imaging noise, do not provide accurate radius estimates for the structures and operate only on single channel images. In contrast, ours makes use of the color information, when available, and generates accurate and smooth paths with minimal supervision. We demonstrate the applicability and generality of our approach on a wide range of imaging modalities ranging from a 2D dataset of aerial images to various 3D datasets of micrographs.