On 11/18/10 8:47 AM, Chris Mitchell wrote:
Are you using numpy or doing for loops?

definitely a job for numpy -- if you aren't using it, check it out.

-CHB


On Thu, Nov 18, 2010 at 10:46 AM, Maxime demers<burto...@sympatico.ca>  wrote:
Hi everyone,

I would like to hear you about the possibility to create mask of N dimension
to "scan" an image. The aim of this mask is to check for each pixel if its
value is between the intervals confidence of the mask's pixels or not. Im
looking for a function that will create a mask of the desired dimension of
the user. For instance: 3x3, 5x5, 7x7, 11x11, etc.

if the scanned pixel is defined by (i,j)
the function should put all the values of the mask NxN at the position (i,j)
into a list.

For now, I can manualy create mask of 3x3 and 5x5 by including the pixels
(i-1,j-1) to (i+1,j+1) etc... in a list, but its getting complicated for 7x7
and bigger mask.

Thanks for your help, its really appreciated

Maxime Demers
Geomatics and Remote Sensing
University de Sherbrooke

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