Hi guys

I would like to use scikit-image to process large images, for example (5696, 13500).

In the interest of speed I need to divide the image into smaller sub-images with the possibility of processing these in parallel.

If I define the sub-images so that neighbouring sub-images overlap then edge effects should not be a problem for the algorithm operating on each sub-image.

This is probably a specific case of the more general border/edge-effect handling issue as addressed by the mode parameter here:
http://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.filters.convolve.html 

My questions:
  1. Is there already a image-division function/strategy implemented in scikit-image? 
  2. Is this something that might be included in future if an implementation is available?
  3. Please share any references to articles or code that deals with this.
Riaan