Dear Physics Buddies,(adsbygoogle = window.adsbygoogle || []).push({});

How are well all, okay I hope. I was wondering if I might browse all your infinite intellects and ask you a very simple question.

I am working with some medical images in matlab and my collaborators would like to know the orientation of the fibres that it contains.

So far I have:

Tiled the images (with an increasing tile size of the power of 2)

Calculated the regions ft

Then I was going to use PCA to find the largest eigen vector and declare that as the most dominant orientation for this region. However, I am a little stuck.

Someone suggested using the interia matrix of the ft power spectrum. This involves computing:

∑(ki,kj)(ki-kic)(ki-kic),∑(ki,kic)(ki-kic),(kj-kjc)

∑(ki,kj)(ki-kic)(kj-kjc),∑(ki,kj)(kj-kjc)(kj-kjc)

I am using brocploc in matlab and so I was wondering if any of you guys new of quick ways to compute this for image?

Hoping you can help

Physical101

**Physics Forums - The Fusion of Science and Community**

# Fast Fourier Transform (FFT) power spectrum angle

Know someone interested in this topic? Share a link to this question via email,
Google+,
Twitter, or
Facebook

Have something to add?

- Similar discussions for: Fast Fourier Transform (FFT) power spectrum angle

Loading...

**Physics Forums - The Fusion of Science and Community**