Gamma Filtering Tool
Notebook name: gamma_filtering_tool.ipynb
Description
This notebook will allow you to compare data loaded without any correction against data loaded with gamma filtering on. You will be able to change the gamma filtering coefficient to optimize the cleaning of the gammas without dammaging the images.
Start the notebook
If you need help accessing this notebook, check the How To > Start the python notebooks tutorial.
How to Use It?
Select your IPTS
Check the full tutorial here
Select Images
Simply select all the images you want to work on.
Check the file selection tool tutorial
to learn how to use the file selector tool.
Display Images
Mouse Infos / Zoom and Pan
Moving the mouse over the raw or filtered image will give you its value in the status bar (bottom left) of the UI. Also any zoom or pan transformation in one of the image will be reproduced in the other image.
Changing the filtering coefficient
After changing the gamma filtering coefficient and hitting ENTER, the entire stack of data will be reloaded using the new filter coefficient. The table will show you the new percentage and number of pixels cleaned. The gamma filtered plot will be refreshed to display the new cleaned selected image.
Gamma Filtering Algorithm
If you wonder how the gamma filtering algorithm works and what is the meaning behind this magic gamma filtering coefficient
Here is the workflow:
- user determine the gamma filtering coefficient (coefficient). Value between 0 and 1.
- Image per image, the program calculate the average counts (image_average_counts).
- if the coefficient * pixel_value > image_average_counts then this pixel is considered to be a gamma and is replaced by the average value of its 8 neighbor pixels.
Feel free to move the plot around and resize them!
