STM experiment (HOPG) data analysis/image processing

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The discussion revolves around analyzing and processing a scanning tunneling microscopy (STM) image of carbon atoms in a graphene sample. The user seeks to eliminate noise from the image using MATLAB, specifically through techniques like fast Fourier transform (fft2) and filtering commands, but has encountered challenges. Suggestions include applying a Fourier transform, setting high-frequency components to zero, and then back-transforming to reduce noise. The conversation highlights the excitement over the image quality, with encouragement to showcase it even without extensive processing. Overall, the focus is on effective methods for image noise reduction in MATLAB.
itzik26
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hi,
I've got a really great picture of the carbon atoms in a graphine (HOPG) sample, using STM technique (picture attached). I would like to remove from the picture all the data came from noise etc.. I'm working with MATLAB, and I tried to use fast Fourier transform (fft2), but didn't know how to move on from there. I've also tried to use the "filter" command, but without any success. Does somebody have any idea? thanks
 

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The picture looks pretty good as it is, why not show it without more processing?

Otherwise, you can try to Fourier transform it. Then select a cut-off and set the Fourier components above that to zero, then back-transform. This will remove high-frequency noise.
 
it really looks good, doesn't it?? I got really excited :)

do you know how can I do this cut-off in matlab?
 
Setting elements of a matrix to zero? You should be able to do that in Matlab...
 

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