Skip to content
Snippets Groups Projects
Select Git revision
  • b665ace552bc801a8e0792d0864385af91ee2d76
  • master default protected
  • bepi
3 results

websitetutorials

  • Open with
  • Download source code
  • Your workspaces

      A workspace is a virtual sandbox environment for your code in GitLab.

      No agents available to create workspaces. Please consult Workspaces documentation for troubleshooting.

    • Behnaz Pirzamanbein's avatar
    modified the directory dependency
    bepi authored 
    created a new data and results folder in both Segmentation and
Reconstruction
    b665ace5
    History
    Behnaz Pirzamanbein's avatar b665ace5
    History
    Name Last commit Last update
    AdvancedImageAnalysisNote
    IntroductionToPython
    Reconstruction
    Segmentation
    .gitignore
    README.md
    README.md

    Tutorials

    Structure of the Examples

    The examples provided should work as a template or starting point for doing analysis of volumetric data from the synchrotron or other imaging modalities. Most of the examples are provides as Jupyter notebooks, which is a handy tool to develop code in a report like manner, including text and mathematical notation. Each example has a description and a link to a notebook. Some examples might require you to compile code or are provided in a language which is not supported by Jupyter notebooks, in that case, detailed instructions should be provided.

    Introduction

    • 01_JupyterNotebook: Introduction to Jupyter notebooks and Python
    • 02_NumPy: Introduction to NumPy
    • 03_Matplotlib: Introduction to Matplitlib
    • 04_Debug: Debugging and more

    Segmentation

    • 01_Introdution: Introduction to segmentation
    • 02_Filtering: Filtering
    • 03_FeatureDetection: Segmentation and feature detection
    • 04_EdgeLineDetection: Edge and line detection
    • 05_BiasedCorrection: Segmentation of chalk
    • 06_LaplaceFilter: Segmentation of blob

    Data

    • data_chalk
    • data_examples
    • data_fibers

    Reconstruction

    • 01_FBP: Basic data simulation and reconstruction by filtered back-projection (FBP)
    • 02_Load: Load raw data and apply flat and dark field corrections
    • 03_RealReconstructionChalk: Reconstruct synchrotron data
    • 04_IterativeReconstruction: Iterative reconstruction methods
    • 05_FanBeam: Fan-beam geometry
    • 06_ROI: The region-of-interest (ROI) problem
    • 07_RealReconstructionBundle: Reconstruction of large field of view (LFoV) bundle data set
    • 08_RealReconstructionFibers: Reconstruction of FoV2_5mm fiber data set

    Advanced Image Analysis Note

    Contains the note.pdf of Advanced Image analysis course at DTU