The blockproc function's signature provides a useful starting point, thanks. http://www.mathworks.com/help/images/ref/blockproc.html I will have to think about how to do the parallel execution from the function. Blockproc provides two 'padding' methods: replicate and symmetric. I guess what I need could be called margin, or overlap perhaps. For the margin case it might make sense that such a function merely returns an array of block definitions, rather than blocks of pixel data. But this would not be so applicable for the replicate and symmetric cases I think. R On Saturday, August 31, 2013 6:49:31 PM UTC+2, Johannes Schönberger wrote:
Hi Riaan,
Unfortunately we do not have (at least I do not know of) a function similar to Matlab's `blockproc`. Such feature would be a great addition to skimage!
Regards, Johannes
Am 31.08.2013 um 16:04 schrieb Riaan van den Dool <riaan...@gmail.com<javascript:>>:
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.co...
My questions: • Is there already a image-division function/strategy
implemented in scikit-image?
• Is this something that might be included in future if an
implementation is available?
• Please share any references to articles or code that deals
with this.
Riaan
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