- #1
jsr9119
- 14
- 0
Hi all,
I'm working on some image analysis as a part of my research, specifically trying to match images. The method I am using transforms the image into the frequency domain and then applies a band pass (or mesa) filter to eliminate noise and the dc component of the image.
I have never done this kind of work before so maybe I am on the wrong track, but for the filter, I don't understand how the bounds of the filter should be assessed, i.e where the cutoff frequencies should be or how fast the cutoff should grow. I've basically been running for-loops to check all the different values, but my gut is telling me there should be a way to calculate these values. Am I wrong? Any insight is greatly appreciated.
Thank you,
Jeff
I'm working on some image analysis as a part of my research, specifically trying to match images. The method I am using transforms the image into the frequency domain and then applies a band pass (or mesa) filter to eliminate noise and the dc component of the image.
I have never done this kind of work before so maybe I am on the wrong track, but for the filter, I don't understand how the bounds of the filter should be assessed, i.e where the cutoff frequencies should be or how fast the cutoff should grow. I've basically been running for-loops to check all the different values, but my gut is telling me there should be a way to calculate these values. Am I wrong? Any insight is greatly appreciated.
Thank you,
Jeff