From a5d81e41fd44bb1d7d972c15a905db0d37c38fe6 Mon Sep 17 00:00:00 2001 From: willap <wl@di.ku.dk> Date: Wed, 15 Sep 2021 12:24:08 +0000 Subject: [PATCH] Update README.md --- README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/README.md b/README.md index 8173ba8..d04b6a1 100644 --- a/README.md +++ b/README.md @@ -7,6 +7,9 @@ <a name='1'></a> ## 1. Description of Repository Content +The layered surface tool uses a sparse layered graphs in order detect layers in 2D and 3D images. The primary benefit of using this tool over standard edge detection is that it can detect layers even when there edge breaks or gaps in the layer. + + This repository contains tutorials for the using the layered surface detection tool. Included is a few Jupyter notebook tutorials that are designed to give you an idea on how to use the layered surface tool. You should start with the _LayeredSurfaceDetection_tutorial.ipynb_ notebook which discuss the basics of the layered surface tool and applies it to some synthetic data as well as a relatively simple example dataset. More complex examples are provided in the _NerveSegmentation2D_example.ipynb_ and _NerveSegmentation3D_example.ipynb_ notebooks which describe how to apply the layered surface tool to circular regions via radial unwrapping. A Python file containing some helper functions that are used in the tutorials is also included in utilsLS.py_. Some visualization functions are included in the _utilsVisualizationLS.py_. These tutorials will give you an understanding of how to apply the Layered Surface tool to image data so that you can use the tool on your own datasets. You can open the the tutorials at [](https://mybinder.org/v2/git/https%3A%2F%2Flab.compute.dtu.dk%2FQIM%2Ftutorials%2Flayered-surfaces/HEAD). -- GitLab