Thinking outside the box

I'm currently enrolled in the degree program Georgia Tech offers through Udacity. It's called OMSCS. I'm taking Knowledge Based Artificial Intelligence:Cognitive Systems.

The primary project we are working on is Ravens Progressive Matrices.

I have tons of ideas, and approaches. I'll talk about one that I'm experimenting with (and have no idea if it'll work).

One thought that crossed my mind was what if i could think of these problems as a time relationship. Could I apply a Fast Fourier Transform (FFT)? Well I am giving it a shot.

First I took a line by line reading of the image, then layed it end to end. So in a way you have a all kinds of crazy waveform.

Next I used numpy to convert to the Power Domain using numpy.fft.fft(array).

I'm not much further than this, but I did try dividing A by B and A by C and graphing these ratios along with inverse FFT'ing.

I thought the graphs looked really neat. So I am going to leave a few here for your enjoyment.

Which by the way I should note, I have no idea what I'm doing here, it's experimentation and who knows if these graphs are even logical, but they're cool looking.

A/C

A/B

Original Images

C

A

B

Have a good one, I'll probably post more about this in the future.