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websitetutorials

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    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