First attempt at using gaussian vector averaging on the zebra image.
  This is the thresholded large eigenvale (region which has stripes). Even though parameter choice was random we still get a connected object that is completely separate from background.
 
This is the edge of the segmented region and the angle image. They could also be useful for certain tasks.  
 
Conclusion: We found that the technique of vector averaging works for certain tasks and found the effect of noise and size of gaussian filter on performance.

This technique works best for images which have high resolution compared to level of detail.


Problems of interest:how precisely does this technique measure orientation (can it separate a region with 45 degree lines from a region with 50 degree lines?