Hi I'm trying to make a python script to get MTF curve for the input image
Here is my algorithm to get MTF.
1. get Image
2. select ROI(High contrast region)
3. extract a center line out of image array.
4. differentiate the pixel value
5. apply fast Fourier transform and sort it.
6. apply polynomial fitting to get smooth curve
7. normalize 0~1
8. get the absolute value of number 7
Is this right way to get MTF?
I'm little confused.
this is the reference code I'm using
https://github.com/habi/GlobalDiagnostiX/blob/master/MTF.py
Have a look at https://github.com/jluastro/JLU-python-code/blob/master/jlu/nirc2/mtf/mtf.py
https://www.youtube.com/watch?v=mjGczJTkWic
https://www.edmundoptics.com.au/knowledge-center/application-notes/optics/introduction-to-modulation-transfer-function/
The algorithm you are describing is correct. Although, the most important part is not in the code as it is the physical setup. The algorithm you describe is often called MTF from LSF (Line Spread Function). You should make sure you image a slanted edge. That is, the vertical edge needs to be slightly tilted with respect to the columns of the sensor. A good explanation can be found here:
https://harvestimaging.com/blog/?p=1328
visit the following link
https://www.edmundoptics.com/knowledge-center/application-notes/optics/introduction-to-modulation-transfer-function/
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