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Commit 70eef229 authored by Karl Hoffmann's avatar Karl Hoffmann
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Add irregular case in README

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......@@ -10,6 +10,10 @@ The code was developed by Karl B. Hoffmann during his PhD studies under supervis
For usage example go through the main Jupyter Notebook [robust_defect_identification.ipynb](./robust_defect_identification.ipynb)
or have a look at the [examples section](./README.md#example-workflows).
The methods do **not** depend on a square grid as is shown
in the Jupyter Notebook [robust_defect_identification_irregular.ipynb](./robust_defect_identification_irregular.ipynb).
with an irregular set of discretization points.
In fact, any gridded data can also be treated in this more general way.
## Citation
When using the software, please cite
......@@ -85,6 +89,11 @@ PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS.*
Output plots of the main Jupyter Notebook [robust_defect_identification.ipynb](./robust_defect_identification.ipynb) for
the different examples follow below. They can be reproduced in [robust_defect_identification.ipynb](./robust_defect_identification.ipynb)
starting from the initial input image.
The synthethic example data is also available with an irregular set of discretization points
in the Jupyter Notebook [robust_defect_identification_irregular.ipynb](./robust_defect_identification_irregular.ipynb).
There, parts of the effort are in building up the correct structures (in fact, pandas DataFrames) to
represent the planar graph formed by the discretization points.
Each example
- starts from original grayscale image (except for the synthethic data)
......
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