Sorry if this question seems to trivial, but I am a bit of a novice when it comes to signal and image processing and I need some guidance.
I have a 3D stack of about 256 grey scale images, each with pixel resolution 256x256, coming from an x-ray tomography scan of a rock sample. I want to segment the data to isolate the void space from the solid space. Typically I use ImageJ software to segment it using its 'auto' feature based upon a histogram of the grey-scale color values. I am wondering if using fourier transform of the grey-scale data can somehow help me in the process. What can the FT tell me about the image data that I can use for segmentation purposes?